Overview

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Dataset statistics

Number of variables350
Number of observations40
Missing cells6470
Missing cells (%)46.2%
Total size in memory116.2 KiB
Average record size in memory2.9 KiB

Variable types

Text9
Unsupported112
Numeric199
DateTime3
Boolean27

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
w1_experimentidexperiment id
w1_fillinquestfillinquest
w1_lastpagelast page
w1_submitdatedate of submission
w1_startlanguagestart language
w1_startdateStart date
w1_datestampdatestamp
w1_refurl reference url
w1_A00_1Having read the informative and the privacy policy in the email (also linked below) ...do you agree to participate in the WENET-Internet of us survey and tell us about your experience as a student at the University of […]?
w1_A00_2Having read the informative and the privacy policy in the email (also linked below) ...do you authorize access to your university administrative data?
w1_A01Which gender were you born? 1. Male, 2. Female?
w1_A02When were you born? Year:
w1_A03What is your nationality? [List, see Appendix]
w1_A03JLUWhat is your nationality? [List, see Appendix]
w1_A04AMRITAQuestion: In what faculty/department are you studying? | Answer:
w1_A04AMRITA_otherQuestion: In what faculty/department are you studying? | Answer:
w1_A04AAUQuestion: In what faculty/department are you studying? | Answer: A04AAU. [List, see Appendix]:1. Electronic Systems 2. Architecture, Design and Media Technology 3. Chemistry and Bioscience 4. Communication and Psychology 5. Culture and Learning 6. Planning 7. Mathematical Sciences 8. Materials and Production 9. Business and Management 10. Sociology and Social Work 11. Political Science 12. Clinical Medicine 13. Built Environment
w1_A04JLUQuestion: In what faculty/department are you studying? | Answer: A04JLU. [List, see Appendix]1. School of Philosophy and Society 2. Art college 3. Archaeological Institute 4. Foreign Language School 5. Art Academy 6. Sports Academy 7. School of Mathematics 8. School of Physics 9. School of Chemistry 10. College of Life Sciences 11. School of Electronic Science and Engineering 12. School of Communication Engineering 13. School of Computer Science and Technology 14. Software College 15. School of Economics 16. Law school 17. School of Administration 18. Business school 19. Institute of Finance 20. School of Mechanical Engineering 21. School of Automotive Engineering 22. material science and Engineering School 23. Jiaotong University 24. College of Biological and Agricultural Engineering 25. School of Management 26. School of Food Science and Engineering 27. School of Earth Sciences 28. School of Earth Exploration Science and Technology 29. School of Construction Engineering 30. School of New Energy and Environment 31. School of Instrument Science and Electrical Engineering 32. Basic Medical School 33. School of Public Health 34. College of Pharmacy 35. School of Nursing 36. School of Clinical Medicine 37. Bethune First Hospital 38. Bethune Second Hospital 39. Bethune Third Hospital 40. Bethune Dental Hospital 41. School of Animal Medicine 42. Faculty of Plant Science 43. College of Animal Science 44. Artificial Intelligence Academy
w1_A04LSEQuestion: In what faculty/department are you studying? | Answer: A04LSE. [List, see Appendix]1. Department of Accounting 2. Department of Anthropology 3. Department of Economics 4. Department of Economic History 5. European Institute 6. Department of Finance 7. Department of Gender Studies 8. Department of Geography and Environment 9. Institute of Global Affairs (IGA) 10. Department of Government 11. Department of Health Policy 12. Department of International Development 13. Department of International History 14. International Inequalities Institute 15. Department of International Relations 16. Language Centre 17. Department of Law 18. Department of Management 19. Marshall Institute 20. Department of Mathematics 21. Department of Media and Communications 22. Department of Methodology 23. Department of Philosophy, Logic and Scientific Method 24. Department of Psychological and Behavioural Science 25. School of Public Policy (formerly Institute of Public Affairs) 26. Department of Social Policy 27. Department of Sociology 28. Department of Statistics
w1_A04NUMQuestion: In what faculty/department are you studying? | Answer: A04NUM. [List, see Appendix]1. Business School 2. School of International Relations and Public Administration 3. School of Law 4. School of Engineering and Applied Sciences 5. School of Sciences – Division of Social Sciences 6. School of Sciences – Division of Natural Sciences 7. School of Sciences – Division of Humanities
w1_A04UCQuestion: In what faculty/department are you studying? | Answer: A04UC. [List, see Appendix]1. Facultad de Ciencias Contables, Administrativas y Económicas 2. Facultad de Ciencias y Tecnología 3. Facultad de Ciencias de la Salud 4. Facultad de Ciencias Jurídicas y Diplomáticas 5. Facultad de Filosofía y Ciencias Humanas
w1_A04UNITNQuestion: In what faculty/department are you studying? | Answer: A04UNITN. [List, see Appendix]1. CIBIO 2. Economics and Management 3. Faculty of Law 4. Physics 5. Civil, Environmental and Mechanical Engineering 6. Information Engineering and Computer Science 7. Industrial Engineering 8. Humanities 9. Mathematics 10. Psychology and Cognitive Science 11. Sociology and Social Research 12. Center Agriculture Food Environment 13. CIMeC - Centre for Mind/Brain Sciences 14. SSI - School of International Studies 15. Other structures
w1_A04IPICYTQuestion: In what faculty/department are you studying? | Answer: A04IPICYT. [List, see Appendix]
w1_A05Type of degree: 1. BSc, 2. MSc, 3.PhD
w1_A05UNITNType of degree: 1. BSc, 2. MSc, 3. 5 years
w1_A05AMRITAType of degree: 1. BSc, 2. MSc, 3.M.B.B.S, 4.MBA, 5.M.Tech, 6.B.Tech, 7.Integrated degree, 8.MHA, 9.B.Pharm, 10.M.D, 11.B.A.M.S, 12.BCA, 13.M.Pharm, 14.MCA, 15.M.S, 16.Mch
w1_A06Programme: 1. Full Time, 2. Part Time
w1_A07[Not for LSE if A05=2 AND A06=1] Course year
w1_A08You are: 1. Regularly enrolled for a BAs/MAs degree, 2. Register on supplementary year
w1_A09 [Not for LSE, NUM, UC and UNITN] Where do you live during term time?: 1. In the town where the university is located. 2. Close to the city where the university is located (less than 1.30 hours of travel). [go to A11] 3. In another city away from where the university is located (more than 1.30 hours of travel) [go to A11] 4. Abroad (e.g., Erasmus student) [go to B01]
w1_A09UNITNWhere do you live during term time? [See Appendix] 1. Trento [go to A10UNITN] 2. Rovereto 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)
w1_A09UCWhere do you live during term time? [See Appendix]1. Asunción [go to A10UC] 2. In the town where the university is located. 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)
w1_A10UNITNAnd exactly in which neighbourhood of the town do you live? And exactly in which district of the town do you live? [See Appendix]1. Center (from Cristo Re/San Martino to Fersina) 2. Piedicastello/Vela 3. Trento North (from Gardolo to loc.Solteri/Via Brennero/Via Maccani) 4. North of Gardolo (Lavis, Meano, Spini) 5. Argentario (Cognola/Martignano/Montevaccino/Villamontagna) 6. East hill (Mesiano/Povo/Oltrecastello/San Donà/Cognola/Villazzano) 7. Trento South (Bolghera/Clarina/San Bartolomeo/Madonna Bianca/Villazzano Tre) 8. Mattarello/Ravina/Romagnano 9. Bondone/Cadine/Sardagna/Sopramonte
w1_A10AAUAnd exactly in which neighbourhood of the town do you live? And exactly in which neighbourhood of the town do you live? [See Appendix]1. Vesterbro/Kongens Enghave 2. Nørrebro 3. Østerbro 4. Amager Øst 5. Amager Vest 6. Valby 7. Bispebjerg 8. Vanløse 9. Brønshøj-Husum
w1_A10NUMAnd exactly in which neighbourhood of the town do you live? Please, enter the zip code of where you live during term time [See Appendix]
w1_A10LSEAnd exactly in which neighbourhood of the town do you live? What is your first three digits of post code? [See Appendix]1. London Central (30 minutes from LSE) 2. Outer London (1hour from LSE) 3. Outside London
w1_A10UCAnd exactly in which neighbourhood of the town do you live? What area exactly do you live in? [See Appendix]1. Centro 2. Sajonia 3. San Vicente y Santa Ana 4. Mcal López1 (entre Brasil y Gral Santos) 5. España1 (entre Brasil y Gral Santos) 6. Mcal López2 (entre Gral Santos y Rca. Argentina) 7. España2 (entre Gral Santos y Rca. Argentina) 8. Pinoza/ Seminario 9. Los Laureles 10. Shopping del Sol hasta calle Última 11. Trinidad 12. Loma Pyta
w1_A10IPICYTAnd exactly in which neighbourhood of the town do you live? In which area do you live? [See Appendix]
w1_A11NUMWhat kind of accommodation are you living in? [See Appendix]1. University dormitory (dormitory) 2. In the university apartment 3. Dormitory (Private dormitory) 4. Rental apartment / house 5. Own apartment or house (may be yours, parents 'or relatives') 6. As a private guest / guest (adjoining room for rent) 7. As a friend or guest of friends 8. Mongolian ger and fence 9. Fence in the house
w1_A11 What kind of accommodation are you living in? 1. University students’ Residence (dormitory) (e.g. LSE Hall of Residence, San Bartolameo, Danmarks Internationale Kollegium) 2. University flat 3. University campus4. A private sector Hall of Residence (Private students’ dormitory)5. Rental house/flat 6. in a house/apartment owned (by you, your parents, or relatives) 7. guest of a private person8. guest of friend or friends
w1_B01_1Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am the life of the party
w1_B01_2Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Sympathize with others’ feelings
w1_B01_3Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get chores done right away
w1_B01_4Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have frequent mood swings
w1_B01_5Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have a vivid imagination
w1_B01_6Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Don’t talk a lot
w1_B01_7Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in other people’s problems
w1_B01_8Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Often forget to put things back in their proper place
w1_B01_9Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am relaxed most of the time
w1_B01_10Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in abstract ideas
w1_B01_11Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Talk to a lot of different people at parties
w1_B01_12Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Feel others’ emotions
w1_B01_13Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Like order
w1_B01_14Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get upset easily
w1_B01_15Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have difficulty understanding abstract ideas
w1_B01_16Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Keep in the background
w1_B01_17Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not really interested in others
w1_B01_18Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Make a mess of things
w1_B01_19Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Seldom feel blue
w1_B01_20Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Do not have a good imagination
w1_B02_1Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SOCIAL SUPPORT. To obtain help when you need it; to feel that you are not alone in the world.
w1_B02_2Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SUCCESS. To reach your goals; to be efficient in everything you do.
w1_B02_3Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SEXUALITY. To have sexual relationships; to obtain sexual pleasure.
w1_B02_4Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: KNOWLEDGE. To look for up-to-date news on not very well-known matters; to try to discover new things about the world.
w1_B02_5Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: EMOTION. To enjoy challenges or unknown situations; to look for adventure.
w1_B02_6Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: POWER. To have the power to influence others and to control decisions; to be the boss of a team.
w1_B02_7Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: AFFECTIVITY. To have a deep and enduring affectionate relationship; to have somebody to share successes and failures.
w1_B02_8Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: RELIGIOSITY. To believe in God as the savior of humanity; to fulfill the will of God.
w1_B02_9Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: HEALTH. To look after your health at all times, not just when sick; not to be sick.
w1_B02_10Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PLEASURE. To live for the moment; to satisfy all your desires.
w1_B02_11Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PRESTIGE. To know that a lot of people know and admire you; when you are older to receive a homage for your contributions.
w1_B02_12Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: OBEDIENCE. To fulfill your daily duties and obligations; to respect your parents, superiors, or elders.
w1_B02_13Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PERSONAL STABILITY. To have the certainty that tomorrow you will have all that you have today; to have an organized and planned life.
w1_B02_14Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BELONGING. To have good neighborly relationships; to form part of a group (e.g., social, religious, sporting, etc.).
w1_B02_15Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BEAUTY. To be able to appreciate the best in art, music, and literature; to go to museums or exhibitions where you can see beautiful things.
w1_B02_16Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: TRADITION. To follow the social norms of your country; to respect the traditions of your society.
w1_B02_17Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SURVIVAL. To have water, food, and shelter every day in your life; to live in a place with enough food.
w1_B02_18Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: MATURITY. To feel that your purpose in life has been fulfilled; to develop all your capacities.
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w1_C01_1How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online live synchronous
w1_C01_2How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online recorded asynchronous
w1_C01_3How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Partly synchronously and partly asynchronously
w1_C01_4How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: In presence
w1_C02_1How often do you attend workshops or other academic activities? (1 “never” – 6 “very often”)
w1_C02_2How often do you take notes in class? (1 “never” – 6 “very often”)
w1_C02_3How often do you review and arrange notes at the end of the lecture? (1 “never” – 6 “very often”)
w1_C02_4How often do you audio record the lecture? (1 “never” – 6 “very often”)
w1_C02_5How often do you study and review notes regularly during the class week? (1 “never” – 6 “very often”)
w1_C02_6How often do you schematize or summarize books or notes related to a course? (1 “never” – 6 “very often”)
w1_C02_7How often do you take part in the activities organized by the course? (1 “never” – 6 “very often”)
w1_C02_8How often do you use specialized websites (e.g., statistics, philosophy, physics…)? (1 “never” – 6 “very often”)
w1_C02_9How often do you use question & answer sites (e.g., Quora, Stack Overflow, Answers.com)? (1 “never” – 6 “very often”)
w1_C02_10How often do you use university websites/platform tools for learning (e.g., Moodle, etc.)? (1 “never” – 6 “very often”)
w1_C02_11How often do you use commercial education platforms (e.g., Coursera, Udemy, Datacamp)? (1 “never” – 6 “very often”)
w1_C02_12How often do you use virtual labs and Amrita University Management Systems? (1 “never” – 6 “very often”)
w1_D01About how many university students can you contact for help in studying?
w1_D02Are you in an informal study group(s) (beside the one you are in for the lab/class project)? 1) Yes 2) No [go to E01]
w1_D03How many informal study groups do you participate in?
w1_D04About how many people are in the informal study group? If you have more than one, think about the one you meet most often
w1_D05How often do you meet? If you meet more than one, think about the one you meet most often.1. Less than once a week2. Once a week3. Twice a week 4. Three days a week 5. Four days a week6. Five or more days a week
w1_E01_1How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Twitter - Weibo
w1_E01_2How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook
w1_E01_3How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : LinkedIn
w1_E01_4How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : YouTube
w1_E01_5How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Instagram
w1_E01_6How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Telegram
w1_E01_7How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Pinterest
w1_E01_8How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Reddit
w1_E01_9How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Flickr
w1_E01_10How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook messenger
w1_E01_11How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WhatsApp
w1_E01_12How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Google hangouts
w1_E01_13How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Skype
w1_E01_14How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Zoom
w1_E01_15How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Snapchat
w1_E01_16How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Tinder
w1_E01_17How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WeChat
w1_E01_18How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Viber
w1_E01_19How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : TikTok
w1_E01JLU_1How often do use the following social networking channels? | Answer: Weibo(微博)
w1_E01JLU_2How often do use the following social networking channels? | Answer: LinkedIn
w1_E01JLU_3How often do use the following social networking channels? | Answer: Bilibili
w1_E01JLU_4How often do use the following social networking channels? | Answer: Acfun
w1_E01JLU_5How often do use the following social networking channels? | Answer: lvzhou(绿洲)
w1_E01JLU_6How often do use the following social networking channels? | Answer: Telegram
w1_E01JLU_7How often do use the following social networking channels? | Answer: Pinterest
w1_E01JLU_8How often do use the following social networking channels? | Answer: Huaban(花瓣)
w1_E01JLU_9How often do use the following social networking channels? | Answer: Xiaohongshu(小红书)
w1_E01JLU_10How often do use the following social networking channels? | Answer: Reddit
w1_E01JLU_11How often do use the following social networking channels? | Answer: Tieba(贴吧)
w1_E01JLU_12How often do use the following social networking channels? | Answer: Douban(豆瓣小组)
w1_E01JLU_13How often do use the following social networking channels? | Answer: Skype
w1_E01JLU_14How often do use the following social networking channels? | Answer: Zoom
w1_E01JLU_15How often do use the following social networking channels? | Answer: Tencent Meeting(腾讯会议)
w1_E01JLU_16How often do use the following social networking channels? | Answer: DingDing(钉钉)
w1_E01JLU_17How often do use the following social networking channels? | Answer: Tinder
w1_E01JLU_18How often do use the following social networking channels? | Answer: Tantan(探探)
w1_E01JLU_19How often do use the following social networking channels? | Answer: Momo(陌陌)
w1_E01JLU_20How often do use the following social networking channels? | Answer: WeChat(微信)
w1_E01JLU_21How often do use the following social networking channels? | Answer: QQ
w1_E01JLU_22How often do use the following social networking channels? | Answer: TikTok(抖音)
w1_E01JLU_23How often do use the following social networking channels? | Answer: Kuaishou(快手)
w1_E01JLU_24How often do use the following social networking channels? | Answer: Huoshan (火山小视频)
w1_E02_1Do you use social networking sites to solve an academic problem? (1 “never” – 6 “very often”)
w1_E02_2Do you use social networking sites to do research work? (1 “never” – 6 “very often”)
w1_E02_3Do you use social networking sites for online academic group discussion? (1 “never” – 6 “very often”)
w1_E02_4Do you use social networking sites to prepare for an examination? (1 “never” – 6 “very often”)
w1_E02_5Do you use social networking sites for collaborative learning? (1 “never” – 6 “very often”)
w1_E02_6Do you use social networking sites to keep you up to date with the activities of your university? (1 “never” – 6 “very often”)
w1_E02_7Do you use social networking sites to seek help from your teachers? (1 “never” – 6 “very often”)
w1_E02_8Do you use social networking sites to become sociable? (1 “never” – 6 “very often”)
w1_E02_9Do you use social networking sites to create your social identity? (1 “never” – 6 “very often”)
w1_E02_10Do you use social networking sites to attend social gatherings? (1 “never” – 6 “very often”)
w1_E02_11Do you use social networking sites to keep in touch with my friends? (1 “never” – 6 “very often”)
w1_E02_12Do you use social networking sites to keep in touch with my relatives? (1 “never” – 6 “very often”)
w1_E02_13Do you use social networking sites to get information regarding current social events? (1 “never” – 6 “very often”)
w1_E02_14Do you use social networking sites for sharing pictures? (1 “never” – 6 “very often”)
w1_E02_15Do you use social networking sites to look at funny stories? (1 “never” – 6 “very often”)
w1_E02_16Do you use social networking sites for watching movies? (1 “never” – 6 “very often”)
w1_E02_17Do you use social networking sites to get relief from academic stress? (1 “never” – 6 “very often”)
w1_E02_18Do you use social networking sites for reading news? (1 “never” – 6 “very often”)
w1_E02_19Do you use social networking sites to share new ideas? (1 “never” – 6 “very often”)
w1_E02_20Do you use social networking sites for getting jobs related information? (1 “never” – 6 “very often”)
w1_E02_21
w1_E03You know what a chatbot is? 1. Yes, 2. No [go to F01]
w1_E04Currently, do you use some chatbot? 1. Yes [go to E06], 2. No
w1_E05In the past, have you tried to talk/converse with a chatbot? 1. Yes [go to F01], 2. No [go to F01]
w1_E06How many chatbot apps have you installed on your smartphone? N.|__|
w1_E07Can you tell us which chatbot(s) you have installed on your smartphone? App Name(s) (________)
w1_E08How often do use the chatbot? (1) Rarely/Never; (2) Every few weeks; (3) A few times a week; (4) About once a day; (5) Several times a day
w1_E09_1How much do you agree with the following statement: if the chatbot shows you ads (advertisements) based on your online activity? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_2How much do you agree with the following statement: if the chatbot knew who you were, without logging in? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_3How much do you agree with the following statement: if the chatbot analysed you, even when using other apps (applications)? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_4How much do you agree with the following statement: if the chatbot identified your age? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_5How much do you agree with the following statement: if the chatbot identified your gender? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_6How much do you agree with the following statement: if the chatbot identified your religious/political views? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_7How much do you agree with the following statement: if individuals or groups perform threatening acts to other users, through the chatbot? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_F01Are you a part of, or are you a member of, any student association or group and/or other nonstudents associations? (e.g. religious, political, sports, etc.) 1) Only student ass. [go to F02], 2)Only nonstudent ass. [go to F04], 3) Both, 4) No [go to G01]
w1_F02
w1_F03_1Please mark the categories of interest of the society(ies) you belong to: Faith
w1_F03_2Please mark the categories of interest of the society(ies) you belong to: Arts and Performance
w1_F03_3Please mark the categories of interest of the society(ies) you belong to: Activity and specialist (e.g., music, alt music, wine, dance, video makers)
w1_F03_4Please mark the categories of interest of the society(ies) you belong to: Cultural and National
w1_F03_5Please mark the categories of interest of the society(ies) you belong to: Careers
w1_F03_6Please mark the categories of interest of the society(ies) you belong to: Volunteering and Charity
w1_F03_7Please mark the categories of interest of the society(ies) you belong to: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)
w1_F03_8Please mark the categories of interest of the society(ies) you belong to: Media
w1_F03_9Please mark the categories of interest of the society(ies) you belong to: Sport
w1_F03_10Please mark the categories of interest of the society(ies) you belong to: Recreational
w1_F03_otherPlease mark the categories of interest of the society(ies) you belong to: Other, specify: ________
w1_F04_1Please mark the categories of interest of the society(ies) you belong to nonstudents association: Faith
w1_F04_2Please mark the categories of interest of the society(ies) you belong to nonstudents association: Arts and Performance
w1_F04_3Please mark the categories of interest of the society(ies) you belong to nonstudents association: Activity and specialist (e.g., music, alt music, wine, dance, video makers)
w1_F04_4Please mark the categories of interest of the society(ies) you belong to nonstudents association: Cultural and National
w1_F04_5Please mark the categories of interest of the society(ies) you belong to nonstudents association: Careers
w1_F04_6Please mark the categories of interest of the society(ies) you belong to nonstudents association: Volunteering and Charity
w1_F04_7Please mark the categories of interest of the society(ies) you belong to nonstudents association: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)
w1_F04_8Please mark the categories of interest of the society(ies) you belong to nonstudents association: Media
w1_F04_9Please mark the categories of interest of the society(ies) you belong to nonstudents association: Sport
w1_F04_10Please mark the categories of interest of the society(ies) you belong to nonstudents association: Recreational
w1_F04_otherPlease mark the categories of interest of the society(ies) you belong to nonstudents association: Other, specify
w1_G01_1Have you done any of the following activities in the last year or so? Acted in a theatre play (1) YES (2) NO
w1_G01_2Have you done any of the following activities in the last year or so? Directed a theatre play (1) YES (2) NO
w1_G01_3Have you done any of the following activities in the last year or so? Performed as a stand-up comedian (1) YES (2) NO
w1_G01_4Have you done any of the following activities in the last year or so? Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped (1) YES (2) NO
w1_G01_5Have you done any of the following activities in the last year or so? Played a musical instrument (1) YES (2) NO
w1_G01_6Have you done any of the following activities in the last year or so? Played a musical instrument in an orchestra or pop/rock/jazz/folk band (1) YES (2) NO
w1_G01_7Have you done any of the following activities in the last year or so? Composed music or performed as DJ (1) YES (2) NO
w1_G01_8Have you done any of the following activities in the last year or so? Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance) (1) YES (2) NO
w1_G01_9Have you done any of the following activities in the last year or so? Did choreography for a dance performance (1) YES (2) NO
w1_G02_1How often did you follow, view and/or listen to the recordings of Theatre plays? (1) Never, (2) ... , (6) Very often
w1_G02_2How often did you follow, view and/or listen to the recordings of Cabarets, or a stand-up comedy? (1) Never, (2) ... , (6) Very often
w1_G02_3How often did you follow, view and/or listen to the recordings of Ballets or a modern dance? (1) Never, (2) ... , (6) Very often
w1_G02_4How often did you follow, view and/or listen to the recordings of Classical music? (1) Never, (2) ... , (6) Very often
w1_G02_5How often did you follow, view and/or listen to the recordings of Opera? (1) Never, (2) ... , (6) Very often
w1_G02_6How often did you follow, view and/or listen to the recordings of Musical? (1) Never, (2) ... , (6) Very often
w1_G02_7How often did you follow, view and/or listen to the recordings of Pop or rock? (1) Never, (2) ... , (6) Very often
w1_G02_8How often did you follow, view and/or listen to the recordings of Jazz or blues? (1) Never, (2) ... , (6) Very often
w1_G02_9How often did you follow, view and/or listen to the recordings of Folk music concert? (1) Never, (2) ... , (6) Very often
w1_G02_10How often did you follow, view and/or listen to the recordings of World music? (1) Never, (2) ... , (6) Very often
w1_G02_11How often did you follow, view and/or listen to the recordings of Urban (rap, hip-hop, trap)? (1) Never, (2) ... , (6) Very often
w1_G02_12How often did you follow, view and/or listen to the recordings of Dance or house? (1) Never, (2) ... , (6) Very often
w1_G02_13How often did you follow, view and/or listen to the recordings of Popular national or local music? (1) Never, (2) ... , (6) Very often
w1_G02_14How often did you follow, view and/or listen to the recordings of A singer/songwriter? (1) Never, (2) ... , (6) Very often
w1_G02_15How often did you follow, view and/or listen to the recordings of Other music? (1) Never, (2) ... , (6) Very often
w1_G02_16How often did you follow, view and/or listen to the recordings of A sport events? (1) Never, (2) ... , (6) Very often
w1_G03_1Have you done any of the following activities during the last year or so?: Created paintings, drawings, graphical works (by hand) (1) Never, (2) ... , (5) Very often
w1_G03_2Have you done any of the following activities during the last year or so?: Created photographs as a hobby (excluding family and/or holiday pictures) (1) Never, (2) ... , (5) Very often
w1_G03_3Have you done any of the following activities during the last year or so?: Created sculptures, pottery, glass, jewels, textile works (1) Never, (2) ... , (5) Very often
w1_G03_4Have you done any of the following activities during the last year or so?: Written any poetry, prose, fiction or non-fiction in your leisure time (1) Never, (2) ... , (5) Very often
w1_G03_5Have you done any of the following activities during the last year or so?: Had a blog or an own website on the internet (1) Never, (2) ... , (5) Very often
w1_G03_6Have you done any of the following activities during the last year or so?: Published your own work (novel) on paper (1) Never, (2) ... , (5) Very often
w1_G03_7Have you done any of the following activities during the last year or so?: Published your own work (novel) in whatever form on the internet (including weblogs, ezines, and other internet publications) (1) Never, (2) ... , (5) Very often
w1_G03_8Have you done any of the following activities during the last year or so?: Uploaded your own film(s) or video(s) on the internet (1) Never, (2) ... , (5) Very often
w1_G03_9Have you done any of the following activities during the last year or so?: Uploaded images of your work of visual arts and crafts on the internet (1) Never, (2) ... , (5) Very often
w1_G03_10Have you done any of the following activities during the last year or so?: Uploaded either your own performance or performance of your company, ensemble, or group on the internet (1) Never, (2) ... , (5) Very often
w1_G04_1During the last year or so... Did you view paintings, drawings, graphical works, photos, and sculptures, products of crafts or virtual exhibitions of visual arts or crafts (on the internet or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_2During the last year or so... Did you view or listen to a programme about visual arts and crafts (on television, radio, video, DVD, internet, or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_3During the last year or so... Did you visit a museum in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_4During the last year or so... Did you visit galleries or exhibitions in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_5During the last year or so... Did you visit monuments, historical or artistic places, famous buildings or archaeological sites in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_6During the last year or so... Did you view virtual exhibitions of art or any kind of museum objects, monuments, historical or artistic places, buildings or sites (on the internet or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_7During the last year or so... Did you make at least one film or one video as an artistic hobby (thus excluding family and holidays films or videos)? (1) Never, (2) ... , (5) Very often
w1_G04_8During the last year or so... Did you go to the cinema or a film festival in your own country? (1) Never, (2) ... , (5) Very often
w1_G04_9During the last year or so... Did you visit a zoo or animal park? (1) Never, (2) ... , (5) Very often
w1_G04_10During the last year or so... Did you visit a natural reserve? (1) Never, (2) ... , (5) Very often
w1_G05_1During the last year or so... How often did you visit a bookshop in your own country or abroad? 1. Never, 2., 3., 4., 5., 6. Very often
w1_G05_2During the last year or so... How often did you visit an online bookshop and/or search for literature and other material available in a library on the internet? 1. Never, 2., 3., 4., 5., 6. Very often
w1_G06Approximately, how many books (printed or eBook) do you have where you live? 1. None 2. 1-25 3. 26-50 4. 51-100 5. 101-200 6. 201-400 7. More than 400
w1_G07_1During the last year or so... Did you read a printed book in your leisure time? [If YES go to G17] (1) Yes; (2) No
w1_G07_2During the last year or so... Did you read a book in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? [If YES go to G17] (1) Yes; (2) No
w1_G08_1Which kind of books did you read? (tick all that apply): Literature & Novels
w1_G08_2Which kind of books did you read? (tick all that apply): Science Fiction & Fantasy
w1_G08_3Which kind of books did you read? (tick all that apply): Mystery & Thrillers
w1_G08_4Which kind of books did you read? (tick all that apply): History
w1_G08_5Which kind of books did you read? (tick all that apply): Biographies
w1_G08_6Which kind of books did you read? (tick all that apply): Health, Mind & Body
w1_G08_7Which kind of books did you read? (tick all that apply): Other kind of books
w1_G09In the last year or so, approximately how many books have you read (not for study)? |__|__|
w1_G10_1Do you read printed magazines and/or periodicals in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_2Do you read magazines and/or periodicals in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_3Do you read printed newspapers? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_4Do you read newspapers in digital form (i.e., on the internet, downloaded from the internet)? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G11_1Do you watch films on television, videos, DVD, internet, or other media? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never
w1_G11_2Do you download films from the internet? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never
w1_H01fWhich is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____
w1_H01f_otherWhich is/was the highest educational level of your father or guardian …? Answer: Other, please specify: _____
w1_H01mWhich is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____
w1_H01m_otherWhich is/was the highest educational level of your mother or guardian …? Answer: Other, please specify: _____
w1_H01fLSE
w1_H01mLSE
w1_H02fWhen you were 14 years old, did your father or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know
w1_H03afMore precisely he or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee
w1_H03af_otherMore precisely he or guardian is/was an….? Answer: Other, please specify: _____
w1_H03bfw1_H04bf - More precisely he or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker
w1_H03bf_otherw1_H04bf_other - More precisely he or guardian is/was an….? Other, please specify: _____
w1_H02mWhen you were 14 years old, did your mother or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know
w1_H03amMore precisely she or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee
w1_H03am_otherMore precisely she or guardian is/was an….? Answer: Other, please specify: _____
w1_H03bmw1_H04bm - More precisely she or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker
w1_H03bm_other w1_H04bf_other - More precisely she or guardian is/was an….? Other, please specify: _____
w1_I00Do you want to participate? 1. Yes, 2. No [go to I05]
w1_I01 Your personal main smartphone is an: 1. iPhone1 [go to I05] 2. Android operating system (Samsung, etc...) with version 5.0 or higher?2 3. Another operating system [go to I05] 1Unfortunately, the app is ONLY available for Android devices. 2To know your operating system go to Settings on your smartphone and click ‘Info on the device/phone’
w1_I03How many Mobile phones do you have? N. |__|
w1_I04 I agree to report my name to the person in charge of the research project entitled WeNet - Internet of us (https://www.internetofus.eu/) and to be contacted to receive further explanations for my possible participation. 1. Yes 2. No [go to I05]
w1_BFI15_1Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often worry about trifles.
w1_BFI15_2Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often feel disturbed.
w1_BFI15_3Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I always worry that something bad is going to happen.
w1_BFI15_4Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to plan things from the beginning.
w1_BFI15_5Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I am diligent in my work or study.
w1_BFI15_6Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: One of my characteristics is doing things logically and orderly.
w1_BFI15_7Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I think most people are well-intentioned.
w1_BFI15_8Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some frauds in the society, I think most people can be trusted.
w1_BFI15_9Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some bad things in human society (such as war, evil and fraud), I still believe that human nature is generally good.
w1_BFI15_10Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm a person who loves to take risks and break the rules.
w1_BFI15_11Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like adventure.
w1_BFI15_12Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I have a spirit of adventure that no one else has.
w1_BFI15_13Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm bored by parties with lots of people.
w1_BFI15_14Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I try to avoid parties with lots of people and noisy environments.
w1_BFI15_15Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to go to social and recreational parties.
w1_GT_BF15
w1_N01How did you make a decision to become a student? 1. By myself 2. Followed my parents' advice 3. Followed my brother/sister's advice4. Other, please specify: ____
w1_N01_otherHow did you make a decision to become a student? | Answer: Other, please specify: ____
w1_N02Are you a resident of the city? 1. Born in the city 2. Migrated to the city [go to N03]
w1_N03From where did you migrate? 1. Arkhangai 2. Bayan-Ulgii 3. Баянхонгор 4. Bayankhongor 5. Govi-Altai 6. Govisumber 7. Darkhan-Uul 8. Dornogovi 9. Dornod 10. Dundgovi 11. Zavkhan 12. Orkhon 13. Uvurkhangai 14. Umnugovi 15. Sukhbaatar 16. Selenge 17. Tuv 18. Uvs 19. Khovd 20. Khuvsgul 21. Khentii
w1_N04For how long are you living in the current place? 1. Less than 1 year 2. 1-2 years 3. 3-4 years 4. 4-5 years 5. 5 or more years
w1_N05_1Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_2Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_3Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_4Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_5Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_6Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_7Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_8Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N06Please, give the reason to migrate to the city 1. To study 2. Followed my parent's decision 3. Followed my brother/sister's decision 4. To work 5. To change my living place 6. Other, please specify: ____
w1_N06_otherPlease, give the reason to migrate to the city. | Answer: Other, please specify: ____
w1_interviewtimetime of interview
w1_GT_A0
w1_GT_A1
w1_GT_B
w1_GT_C
w1_GT_D
w1_GT_E
w1_GT_F
w1_GT_G1
w1_GT_G2
w1_GT_G3
w1_GT_H1
w1_GT_H2
w1_GT_I1
w1_GT_I2
w1_GT_N

Alerts

w1_experimentid has constant value "wenetMexico" Constant
w1_lastpage has constant value "13" Constant
w1_startlanguage has constant value "es" Constant
w1_A00_1 has constant value "1" Constant
w1_E06 has constant value "1" Constant
w1_E09_2 has constant value "2" Constant
w1_E09_3 has constant value "2" Constant
w1_E09_7 has constant value "1" Constant
w1_F03_1 has constant value "False" Constant
w1_F03_2 has constant value "False" Constant
w1_F03_3 has constant value "False" Constant
w1_F04_5 has constant value "False" Constant
w1_F04_other has constant value "Aprender nuevos conocimientos" Constant
w1_H03bf_other has constant value "comerciante" Constant
w1_F04_1 is highly imbalanced (58.6%) Imbalance
w1_F04_7 is highly imbalanced (58.6%) Imbalance
w1_F04_8 is highly imbalanced (58.6%) Imbalance
w1_G08_5 is highly imbalanced (58.6%) Imbalance
w1_experimentid has 2 (5.0%) missing values Missing
w1_fillinquest has 40 (100.0%) missing values Missing
w1_lastpage has 2 (5.0%) missing values Missing
w1_submitdate has 2 (5.0%) missing values Missing
w1_startlanguage has 2 (5.0%) missing values Missing
w1_startdate has 2 (5.0%) missing values Missing
w1_datestamp has 2 (5.0%) missing values Missing
w1_refurl has 31 (77.5%) missing values Missing
w1_A00_1 has 2 (5.0%) missing values Missing
w1_A00_2 has 2 (5.0%) missing values Missing
w1_A02 has 2 (5.0%) missing values Missing
w1_A03 has 2 (5.0%) missing values Missing
w1_A03JLU has 40 (100.0%) missing values Missing
w1_A04AMRITA has 40 (100.0%) missing values Missing
w1_A04AMRITA_other has 40 (100.0%) missing values Missing
w1_A04AAU has 40 (100.0%) missing values Missing
w1_A04JLU has 40 (100.0%) missing values Missing
w1_A04LSE has 40 (100.0%) missing values Missing
w1_A04NUM has 40 (100.0%) missing values Missing
w1_A04UC has 40 (100.0%) missing values Missing
w1_A04UNITN has 40 (100.0%) missing values Missing
w1_A04IPICYT has 40 (100.0%) missing values Missing
w1_A05 has 2 (5.0%) missing values Missing
w1_A05UNITN has 40 (100.0%) missing values Missing
w1_A05AMRITA has 40 (100.0%) missing values Missing
w1_A06 has 2 (5.0%) missing values Missing
w1_A07 has 40 (100.0%) missing values Missing
w1_A08 has 2 (5.0%) missing values Missing
w1_A09 has 40 (100.0%) missing values Missing
w1_A09UNITN has 40 (100.0%) missing values Missing
w1_A09UC has 40 (100.0%) missing values Missing
w1_A10UNITN has 40 (100.0%) missing values Missing
w1_A10AAU has 40 (100.0%) missing values Missing
w1_A10NUM has 40 (100.0%) missing values Missing
w1_A10LSE has 40 (100.0%) missing values Missing
w1_A10UC has 40 (100.0%) missing values Missing
w1_A10IPICYT has 40 (100.0%) missing values Missing
w1_A11NUM has 40 (100.0%) missing values Missing
w1_A11 has 40 (100.0%) missing values Missing
w1_B01_1 has 2 (5.0%) missing values Missing
w1_B01_2 has 2 (5.0%) missing values Missing
w1_B01_3 has 2 (5.0%) missing values Missing
w1_B01_4 has 2 (5.0%) missing values Missing
w1_B01_5 has 3 (7.5%) missing values Missing
w1_B01_6 has 2 (5.0%) missing values Missing
w1_B01_7 has 2 (5.0%) missing values Missing
w1_B01_8 has 2 (5.0%) missing values Missing
w1_B01_9 has 3 (7.5%) missing values Missing
w1_B01_10 has 3 (7.5%) missing values Missing
w1_B01_11 has 3 (7.5%) missing values Missing
w1_B01_12 has 3 (7.5%) missing values Missing
w1_B01_13 has 3 (7.5%) missing values Missing
w1_B01_14 has 3 (7.5%) missing values Missing
w1_B01_15 has 3 (7.5%) missing values Missing
w1_B01_16 has 3 (7.5%) missing values Missing
w1_B01_17 has 3 (7.5%) missing values Missing
w1_B01_18 has 3 (7.5%) missing values Missing
w1_B01_19 has 3 (7.5%) missing values Missing
w1_B01_20 has 3 (7.5%) missing values Missing
w1_B02_1 has 3 (7.5%) missing values Missing
w1_B02_2 has 3 (7.5%) missing values Missing
w1_B02_3 has 3 (7.5%) missing values Missing
w1_B02_4 has 3 (7.5%) missing values Missing
w1_B02_5 has 3 (7.5%) missing values Missing
w1_B02_6 has 3 (7.5%) missing values Missing
w1_B02_7 has 3 (7.5%) missing values Missing
w1_B02_8 has 28 (70.0%) missing values Missing
w1_B02_9 has 3 (7.5%) missing values Missing
w1_B02_10 has 3 (7.5%) missing values Missing
w1_B02_11 has 3 (7.5%) missing values Missing
w1_B02_12 has 3 (7.5%) missing values Missing
w1_B02_13 has 3 (7.5%) missing values Missing
w1_B02_14 has 3 (7.5%) missing values Missing
w1_B02_15 has 3 (7.5%) missing values Missing
w1_B02_16 has 3 (7.5%) missing values Missing
w1_B02_17 has 3 (7.5%) missing values Missing
w1_B02_18 has 3 (7.5%) missing values Missing
w1_B02JLU_1 has 40 (100.0%) missing values Missing
w1_B02JLU_2 has 40 (100.0%) missing values Missing
w1_B02JLU_3 has 40 (100.0%) missing values Missing
w1_B02JLU_4 has 40 (100.0%) missing values Missing
w1_B02JLU_5 has 40 (100.0%) missing values Missing
w1_B02JLU_6 has 40 (100.0%) missing values Missing
w1_B02JLU_7 has 40 (100.0%) missing values Missing
w1_B02JLU_8 has 40 (100.0%) missing values Missing
w1_B02JLU_9 has 40 (100.0%) missing values Missing
w1_B02JLU_10 has 40 (100.0%) missing values Missing
w1_B02JLU_11 has 40 (100.0%) missing values Missing
w1_B02JLU_12 has 40 (100.0%) missing values Missing
w1_B02JLU_13 has 40 (100.0%) missing values Missing
w1_B02JLU_14 has 40 (100.0%) missing values Missing
w1_B02JLU_15 has 40 (100.0%) missing values Missing
w1_B02JLU_16 has 40 (100.0%) missing values Missing
w1_B02JLU_17 has 40 (100.0%) missing values Missing
w1_B02JLU_18 has 40 (100.0%) missing values Missing
w1_C01_1 has 4 (10.0%) missing values Missing
w1_C01_2 has 4 (10.0%) missing values Missing
w1_C01_3 has 4 (10.0%) missing values Missing
w1_C01_4 has 4 (10.0%) missing values Missing
w1_C02_1 has 3 (7.5%) missing values Missing
w1_C02_2 has 3 (7.5%) missing values Missing
w1_C02_3 has 3 (7.5%) missing values Missing
w1_C02_4 has 3 (7.5%) missing values Missing
w1_C02_5 has 3 (7.5%) missing values Missing
w1_C02_6 has 3 (7.5%) missing values Missing
w1_C02_7 has 3 (7.5%) missing values Missing
w1_C02_8 has 4 (10.0%) missing values Missing
w1_C02_9 has 3 (7.5%) missing values Missing
w1_C02_10 has 3 (7.5%) missing values Missing
w1_C02_11 has 3 (7.5%) missing values Missing
w1_C02_12 has 40 (100.0%) missing values Missing
w1_D01 has 3 (7.5%) missing values Missing
w1_D02 has 2 (5.0%) missing values Missing
w1_D03 has 29 (72.5%) missing values Missing
w1_D04 has 29 (72.5%) missing values Missing
w1_D05 has 29 (72.5%) missing values Missing
w1_E01_1 has 3 (7.5%) missing values Missing
w1_E01_2 has 3 (7.5%) missing values Missing
w1_E01_3 has 3 (7.5%) missing values Missing
w1_E01_4 has 3 (7.5%) missing values Missing
w1_E01_5 has 3 (7.5%) missing values Missing
w1_E01_6 has 3 (7.5%) missing values Missing
w1_E01_7 has 4 (10.0%) missing values Missing
w1_E01_8 has 3 (7.5%) missing values Missing
w1_E01_9 has 3 (7.5%) missing values Missing
w1_E01_10 has 3 (7.5%) missing values Missing
w1_E01_11 has 3 (7.5%) missing values Missing
w1_E01_12 has 3 (7.5%) missing values Missing
w1_E01_13 has 3 (7.5%) missing values Missing
w1_E01_14 has 3 (7.5%) missing values Missing
w1_E01_15 has 3 (7.5%) missing values Missing
w1_E01_16 has 3 (7.5%) missing values Missing
w1_E01_17 has 3 (7.5%) missing values Missing
w1_E01_18 has 3 (7.5%) missing values Missing
w1_E01_19 has 3 (7.5%) missing values Missing
w1_E01JLU_1 has 40 (100.0%) missing values Missing
w1_E01JLU_2 has 40 (100.0%) missing values Missing
w1_E01JLU_3 has 40 (100.0%) missing values Missing
w1_E01JLU_4 has 40 (100.0%) missing values Missing
w1_E01JLU_5 has 40 (100.0%) missing values Missing
w1_E01JLU_6 has 40 (100.0%) missing values Missing
w1_E01JLU_7 has 40 (100.0%) missing values Missing
w1_E01JLU_8 has 40 (100.0%) missing values Missing
w1_E01JLU_9 has 40 (100.0%) missing values Missing
w1_E01JLU_10 has 40 (100.0%) missing values Missing
w1_E01JLU_11 has 40 (100.0%) missing values Missing
w1_E01JLU_12 has 40 (100.0%) missing values Missing
w1_E01JLU_13 has 40 (100.0%) missing values Missing
w1_E01JLU_14 has 40 (100.0%) missing values Missing
w1_E01JLU_15 has 40 (100.0%) missing values Missing
w1_E01JLU_16 has 40 (100.0%) missing values Missing
w1_E01JLU_17 has 40 (100.0%) missing values Missing
w1_E01JLU_18 has 40 (100.0%) missing values Missing
w1_E01JLU_19 has 40 (100.0%) missing values Missing
w1_E01JLU_20 has 40 (100.0%) missing values Missing
w1_E01JLU_21 has 40 (100.0%) missing values Missing
w1_E01JLU_22 has 40 (100.0%) missing values Missing
w1_E01JLU_23 has 40 (100.0%) missing values Missing
w1_E01JLU_24 has 40 (100.0%) missing values Missing
w1_E02_1 has 3 (7.5%) missing values Missing
w1_E02_2 has 3 (7.5%) missing values Missing
w1_E02_3 has 3 (7.5%) missing values Missing
w1_E02_4 has 3 (7.5%) missing values Missing
w1_E02_5 has 3 (7.5%) missing values Missing
w1_E02_6 has 3 (7.5%) missing values Missing
w1_E02_7 has 3 (7.5%) missing values Missing
w1_E02_8 has 3 (7.5%) missing values Missing
w1_E02_9 has 3 (7.5%) missing values Missing
w1_E02_10 has 3 (7.5%) missing values Missing
w1_E02_11 has 3 (7.5%) missing values Missing
w1_E02_12 has 3 (7.5%) missing values Missing
w1_E02_13 has 3 (7.5%) missing values Missing
w1_E02_14 has 3 (7.5%) missing values Missing
w1_E02_15 has 3 (7.5%) missing values Missing
w1_E02_16 has 3 (7.5%) missing values Missing
w1_E02_17 has 3 (7.5%) missing values Missing
w1_E02_18 has 3 (7.5%) missing values Missing
w1_E02_19 has 3 (7.5%) missing values Missing
w1_E02_20 has 3 (7.5%) missing values Missing
w1_E02_21 has 3 (7.5%) missing values Missing
w1_E03 has 2 (5.0%) missing values Missing
w1_E04 has 12 (30.0%) missing values Missing
w1_E05 has 14 (35.0%) missing values Missing
w1_E06 has 38 (95.0%) missing values Missing
w1_E07 has 38 (95.0%) missing values Missing
w1_E08 has 38 (95.0%) missing values Missing
w1_E09_1 has 38 (95.0%) missing values Missing
w1_E09_2 has 38 (95.0%) missing values Missing
w1_E09_3 has 38 (95.0%) missing values Missing
w1_E09_4 has 38 (95.0%) missing values Missing
w1_E09_5 has 38 (95.0%) missing values Missing
w1_E09_6 has 38 (95.0%) missing values Missing
w1_E09_7 has 38 (95.0%) missing values Missing
w1_F01 has 2 (5.0%) missing values Missing
w1_F02 has 26 (65.0%) missing values Missing
w1_F03_1 has 33 (82.5%) missing values Missing
w1_F03_2 has 33 (82.5%) missing values Missing
w1_F03_3 has 33 (82.5%) missing values Missing
w1_F03_4 has 33 (82.5%) missing values Missing
w1_F03_5 has 33 (82.5%) missing values Missing
w1_F03_6 has 33 (82.5%) missing values Missing
w1_F03_7 has 33 (82.5%) missing values Missing
w1_F03_8 has 33 (82.5%) missing values Missing
w1_F03_9 has 33 (82.5%) missing values Missing
w1_F03_10 has 33 (82.5%) missing values Missing
w1_F03_other has 38 (95.0%) missing values Missing
w1_F04_1 has 28 (70.0%) missing values Missing
w1_F04_2 has 28 (70.0%) missing values Missing
w1_F04_3 has 28 (70.0%) missing values Missing
w1_F04_4 has 28 (70.0%) missing values Missing
w1_F04_5 has 28 (70.0%) missing values Missing
w1_F04_6 has 28 (70.0%) missing values Missing
w1_F04_7 has 28 (70.0%) missing values Missing
w1_F04_8 has 28 (70.0%) missing values Missing
w1_F04_9 has 28 (70.0%) missing values Missing
w1_F04_10 has 28 (70.0%) missing values Missing
w1_F04_other has 39 (97.5%) missing values Missing
w1_G01_1 has 3 (7.5%) missing values Missing
w1_G01_2 has 3 (7.5%) missing values Missing
w1_G01_3 has 3 (7.5%) missing values Missing
w1_G01_4 has 3 (7.5%) missing values Missing
w1_G01_5 has 3 (7.5%) missing values Missing
w1_G01_6 has 3 (7.5%) missing values Missing
w1_G01_7 has 4 (10.0%) missing values Missing
w1_G01_8 has 3 (7.5%) missing values Missing
w1_G01_9 has 4 (10.0%) missing values Missing
w1_G02_1 has 3 (7.5%) missing values Missing
w1_G02_2 has 4 (10.0%) missing values Missing
w1_G02_3 has 3 (7.5%) missing values Missing
w1_G02_4 has 3 (7.5%) missing values Missing
w1_G02_5 has 3 (7.5%) missing values Missing
w1_G02_6 has 3 (7.5%) missing values Missing
w1_G02_7 has 3 (7.5%) missing values Missing
w1_G02_8 has 3 (7.5%) missing values Missing
w1_G02_9 has 3 (7.5%) missing values Missing
w1_G02_10 has 3 (7.5%) missing values Missing
w1_G02_11 has 3 (7.5%) missing values Missing
w1_G02_12 has 3 (7.5%) missing values Missing
w1_G02_13 has 3 (7.5%) missing values Missing
w1_G02_14 has 3 (7.5%) missing values Missing
w1_G02_15 has 4 (10.0%) missing values Missing
w1_G02_16 has 3 (7.5%) missing values Missing
w1_G03_1 has 3 (7.5%) missing values Missing
w1_G03_2 has 3 (7.5%) missing values Missing
w1_G03_3 has 3 (7.5%) missing values Missing
w1_G03_4 has 4 (10.0%) missing values Missing
w1_G03_5 has 3 (7.5%) missing values Missing
w1_G03_6 has 3 (7.5%) missing values Missing
w1_G03_7 has 3 (7.5%) missing values Missing
w1_G03_8 has 3 (7.5%) missing values Missing
w1_G03_9 has 3 (7.5%) missing values Missing
w1_G03_10 has 3 (7.5%) missing values Missing
w1_G04_1 has 3 (7.5%) missing values Missing
w1_G04_2 has 3 (7.5%) missing values Missing
w1_G04_3 has 3 (7.5%) missing values Missing
w1_G04_4 has 3 (7.5%) missing values Missing
w1_G04_5 has 3 (7.5%) missing values Missing
w1_G04_6 has 3 (7.5%) missing values Missing
w1_G04_7 has 3 (7.5%) missing values Missing
w1_G04_8 has 3 (7.5%) missing values Missing
w1_G04_9 has 3 (7.5%) missing values Missing
w1_G04_10 has 3 (7.5%) missing values Missing
w1_G05_1 has 3 (7.5%) missing values Missing
w1_G05_2 has 3 (7.5%) missing values Missing
w1_G06 has 3 (7.5%) missing values Missing
w1_G07_1 has 2 (5.0%) missing values Missing
w1_G07_2 has 2 (5.0%) missing values Missing
w1_G08_1 has 4 (10.0%) missing values Missing
w1_G08_2 has 4 (10.0%) missing values Missing
w1_G08_3 has 4 (10.0%) missing values Missing
w1_G08_4 has 4 (10.0%) missing values Missing
w1_G08_5 has 4 (10.0%) missing values Missing
w1_G08_6 has 4 (10.0%) missing values Missing
w1_G08_7 has 4 (10.0%) missing values Missing
w1_G09 has 6 (15.0%) missing values Missing
w1_G10_1 has 3 (7.5%) missing values Missing
w1_G10_2 has 3 (7.5%) missing values Missing
w1_G10_3 has 3 (7.5%) missing values Missing
w1_G10_4 has 3 (7.5%) missing values Missing
w1_G11_1 has 3 (7.5%) missing values Missing
w1_G11_2 has 3 (7.5%) missing values Missing
w1_H01f has 3 (7.5%) missing values Missing
w1_H01f_other has 40 (100.0%) missing values Missing
w1_H01m has 3 (7.5%) missing values Missing
w1_H01m_other has 40 (100.0%) missing values Missing
w1_H01fLSE has 40 (100.0%) missing values Missing
w1_H01mLSE has 40 (100.0%) missing values Missing
w1_H02f has 2 (5.0%) missing values Missing
w1_H03af has 14 (35.0%) missing values Missing
w1_H03af_other has 37 (92.5%) missing values Missing
w1_H03bf has 31 (77.5%) missing values Missing
w1_H03bf_other has 39 (97.5%) missing values Missing
w1_H02m has 2 (5.0%) missing values Missing
w1_H03am has 20 (50.0%) missing values Missing
w1_H03am_other has 40 (100.0%) missing values Missing
w1_H03bm has 33 (82.5%) missing values Missing
w1_H03bm_other has 40 (100.0%) missing values Missing
w1_I00 has 40 (100.0%) missing values Missing
w1_I01 has 40 (100.0%) missing values Missing
w1_I03 has 40 (100.0%) missing values Missing
w1_I04 has 40 (100.0%) missing values Missing
w1_BFI15_1 has 40 (100.0%) missing values Missing
w1_BFI15_2 has 40 (100.0%) missing values Missing
w1_BFI15_3 has 40 (100.0%) missing values Missing
w1_BFI15_4 has 40 (100.0%) missing values Missing
w1_BFI15_5 has 40 (100.0%) missing values Missing
w1_BFI15_6 has 40 (100.0%) missing values Missing
w1_BFI15_7 has 40 (100.0%) missing values Missing
w1_BFI15_8 has 40 (100.0%) missing values Missing
w1_BFI15_9 has 40 (100.0%) missing values Missing
w1_BFI15_10 has 40 (100.0%) missing values Missing
w1_BFI15_11 has 40 (100.0%) missing values Missing
w1_BFI15_12 has 40 (100.0%) missing values Missing
w1_BFI15_13 has 40 (100.0%) missing values Missing
w1_BFI15_14 has 40 (100.0%) missing values Missing
w1_BFI15_15 has 40 (100.0%) missing values Missing
w1_GT_BF15 has 40 (100.0%) missing values Missing
w1_N01 has 40 (100.0%) missing values Missing
w1_N01_other has 40 (100.0%) missing values Missing
w1_N02 has 40 (100.0%) missing values Missing
w1_N03 has 40 (100.0%) missing values Missing
w1_N04 has 40 (100.0%) missing values Missing
w1_N05_1 has 40 (100.0%) missing values Missing
w1_N05_2 has 40 (100.0%) missing values Missing
w1_N05_3 has 40 (100.0%) missing values Missing
w1_N05_4 has 40 (100.0%) missing values Missing
w1_N05_5 has 40 (100.0%) missing values Missing
w1_N05_6 has 40 (100.0%) missing values Missing
w1_N05_7 has 40 (100.0%) missing values Missing
w1_N05_8 has 40 (100.0%) missing values Missing
w1_N06 has 40 (100.0%) missing values Missing
w1_N06_other has 40 (100.0%) missing values Missing
w1_interviewtime has 2 (5.0%) missing values Missing
w1_GT_A0 has 2 (5.0%) missing values Missing
w1_GT_A1 has 2 (5.0%) missing values Missing
w1_GT_B has 2 (5.0%) missing values Missing
w1_GT_C has 2 (5.0%) missing values Missing
w1_GT_D has 2 (5.0%) missing values Missing
w1_GT_E has 2 (5.0%) missing values Missing
w1_GT_F has 2 (5.0%) missing values Missing
w1_GT_G1 has 2 (5.0%) missing values Missing
w1_GT_G2 has 2 (5.0%) missing values Missing
w1_GT_G3 has 2 (5.0%) missing values Missing
w1_GT_H1 has 2 (5.0%) missing values Missing
w1_GT_H2 has 2 (5.0%) missing values Missing
w1_GT_I1 has 40 (100.0%) missing values Missing
w1_GT_I2 has 40 (100.0%) missing values Missing
w1_GT_N has 40 (100.0%) missing values Missing
token has unique values Unique
w1_fillinquest is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A03JLU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AMRITA is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AMRITA_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AAU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04JLU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04LSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04IPICYT is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A05UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A05AMRITA is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A07 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A09 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A09UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A09UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10UNITN is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10AAU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10LSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10IPICYT is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A11NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_16 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_17 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_18 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_C02_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_16 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_17 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_18 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_19 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_20 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_21 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_22 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_23 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_24 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H01f_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H01m_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H01fLSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H01mLSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H03am_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H03bm_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_I00 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_I01 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_I03 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_I04 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_GT_BF15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N01 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N01_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N02 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N03 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N04 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N06 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N06_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_GT_I1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_GT_I2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_GT_N is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_C01_1 has 11 (27.5%) zeros Zeros
w1_C01_2 has 22 (55.0%) zeros Zeros
w1_C01_3 has 31 (77.5%) zeros Zeros
w1_C01_4 has 30 (75.0%) zeros Zeros
w1_F02 has 1 (2.5%) zeros Zeros
w1_G09 has 1 (2.5%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:43:49.854051
Analysis finished2025-02-26 16:43:50.370075
Duration0.52 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1005.0 B
2025-02-26T17:43:50.479206image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length13.825
Min length4

Characters and Unicode

Total characters553
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row1234
2nd row12341234
3rd row12345678910
4th row23ahSzHPjRyUAiZ
5th row35naWzclYHvZOnW
ValueCountFrequency (%)
1234 1
 
2.5%
12341234 1
 
2.5%
12345678910 1
 
2.5%
23ahszhpjryuaiz 1
 
2.5%
35nawzclyhvzonw 1
 
2.5%
5kvt7mdxztzduwv 1
 
2.5%
7qsmbo5xjvokrbo 1
 
2.5%
8xgwbfj2qzp0zkz 1
 
2.5%
945lhphtgtjp8ub 1
 
2.5%
a962has9wkbkza1 1
 
2.5%
Other values (30) 30
75.0%
2025-02-26T17:43:50.653187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 26
 
4.7%
z 19
 
3.4%
1 15
 
2.7%
5 15
 
2.7%
d 14
 
2.5%
k 14
 
2.5%
2 13
 
2.4%
4 13
 
2.4%
0 13
 
2.4%
h 13
 
2.4%
Other values (52) 398
72.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 553
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 26
 
4.7%
z 19
 
3.4%
1 15
 
2.7%
5 15
 
2.7%
d 14
 
2.5%
k 14
 
2.5%
2 13
 
2.4%
4 13
 
2.4%
0 13
 
2.4%
h 13
 
2.4%
Other values (52) 398
72.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 553
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 26
 
4.7%
z 19
 
3.4%
1 15
 
2.7%
5 15
 
2.7%
d 14
 
2.5%
k 14
 
2.5%
2 13
 
2.4%
4 13
 
2.4%
0 13
 
2.4%
h 13
 
2.4%
Other values (52) 398
72.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 553
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 26
 
4.7%
z 19
 
3.4%
1 15
 
2.7%
5 15
 
2.7%
d 14
 
2.5%
k 14
 
2.5%
2 13
 
2.4%
4 13
 
2.4%
0 13
 
2.4%
h 13
 
2.4%
Other values (52) 398
72.0%

w1_experimentid
Text

Constant  Missing 

experiment id

Distinct1
Distinct (%)2.6%
Missing2
Missing (%)5.0%
Memory size875.0 B
2025-02-26T17:43:50.726545image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters418
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetMexico
2nd rowwenetMexico
3rd rowwenetMexico
4th rowwenetMexico
5th rowwenetMexico
ValueCountFrequency (%)
wenetmexico 38
100.0%
2025-02-26T17:43:50.831083image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 114
27.3%
w 38
 
9.1%
n 38
 
9.1%
t 38
 
9.1%
M 38
 
9.1%
x 38
 
9.1%
i 38
 
9.1%
c 38
 
9.1%
o 38
 
9.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 418
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 114
27.3%
w 38
 
9.1%
n 38
 
9.1%
t 38
 
9.1%
M 38
 
9.1%
x 38
 
9.1%
i 38
 
9.1%
c 38
 
9.1%
o 38
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 418
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 114
27.3%
w 38
 
9.1%
n 38
 
9.1%
t 38
 
9.1%
M 38
 
9.1%
x 38
 
9.1%
i 38
 
9.1%
c 38
 
9.1%
o 38
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 418
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 114
27.3%
w 38
 
9.1%
n 38
 
9.1%
t 38
 
9.1%
M 38
 
9.1%
x 38
 
9.1%
i 38
 
9.1%
c 38
 
9.1%
o 38
 
9.1%

w1_fillinquest
Unsupported

Missing  Rejected  Unsupported 

fillinquest

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_lastpage
Real number (ℝ)

Constant  Missing 

last page

Distinct1
Distinct (%)2.6%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum13
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:50.870302image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile13
Q113
median13
Q313
95-th percentile13
Maximum13
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean13
Median Absolute Deviation (MAD)0
Skewness0
Sum494
Variance0
MonotonicityIncreasing
2025-02-26T17:43:50.907033image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
13 38
95.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
13 38
95.0%
ValueCountFrequency (%)
13 38
95.0%

w1_submitdate
Date

Missing 

date of submission

Distinct38
Distinct (%)100.0%
Missing2
Missing (%)5.0%
Memory size452.0 B
Minimum2021-06-25 19:45:24
Maximum2021-07-17 00:53:49
2025-02-26T17:43:50.948467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:43:51.000292image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

w1_startlanguage
Text

Constant  Missing 

start language

Distinct1
Distinct (%)2.6%
Missing2
Missing (%)5.0%
Memory size533.0 B
2025-02-26T17:43:51.032359image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters76
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowes
2nd rowes
3rd rowes
4th rowes
5th rowes
ValueCountFrequency (%)
es 38
100.0%
2025-02-26T17:43:51.103180image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 38
50.0%
s 38
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 38
50.0%
s 38
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 38
50.0%
s 38
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 38
50.0%
s 38
50.0%

w1_startdate
Date

Missing 

Start date

Distinct38
Distinct (%)100.0%
Missing2
Missing (%)5.0%
Memory size452.0 B
Minimum2021-06-25 19:23:36
Maximum2021-07-17 00:36:38
2025-02-26T17:43:51.150219image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:43:51.201510image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

w1_datestamp
Date

Missing 

datestamp

Distinct38
Distinct (%)100.0%
Missing2
Missing (%)5.0%
Memory size452.0 B
Minimum2021-06-25 19:45:24
Maximum2021-07-17 00:53:49
2025-02-26T17:43:51.253124image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:43:51.304693image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

w1_refurl
Text

Missing 

reference url

Distinct2
Distinct (%)22.2%
Missing31
Missing (%)77.5%
Memory size556.0 B
2025-02-26T17:43:51.377871image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11
Min length4

Characters and Unicode

Total characters99
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowandroid-gmail
2nd rowandroid-gmail
3rd rowandroid-gmail
4th rowandroid-gmail
5th rowmail
ValueCountFrequency (%)
android-gmail 7
77.8%
mail 2
 
22.2%
2025-02-26T17:43:51.487471image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 16
16.2%
i 16
16.2%
d 14
14.1%
m 9
9.1%
l 9
9.1%
n 7
7.1%
r 7
7.1%
o 7
7.1%
- 7
7.1%
g 7
7.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 99
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 16
16.2%
i 16
16.2%
d 14
14.1%
m 9
9.1%
l 9
9.1%
n 7
7.1%
r 7
7.1%
o 7
7.1%
- 7
7.1%
g 7
7.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 99
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 16
16.2%
i 16
16.2%
d 14
14.1%
m 9
9.1%
l 9
9.1%
n 7
7.1%
r 7
7.1%
o 7
7.1%
- 7
7.1%
g 7
7.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 99
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 16
16.2%
i 16
16.2%
d 14
14.1%
m 9
9.1%
l 9
9.1%
n 7
7.1%
r 7
7.1%
o 7
7.1%
- 7
7.1%
g 7
7.1%

w1_A00_1
Real number (ℝ)

Constant  Missing 

Having read the informative and the privacy policy in the email (also linked below) ...do you agree to participate in the WENET-Internet of us survey and tell us about your experience as a student at the University of […]?

Distinct1
Distinct (%)2.6%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:51.526419image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum38
Variance0
MonotonicityIncreasing
2025-02-26T17:43:51.561861image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 38
95.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 38
95.0%
ValueCountFrequency (%)
1 38
95.0%

w1_A00_2
Real number (ℝ)

Missing 

Having read the informative and the privacy policy in the email (also linked below) ...do you authorize access to your university administrative data?

Distinct2
Distinct (%)5.3%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean1.026315789
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:51.599462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1622214211
Coefficient of variation (CV)0.1580618975
Kurtosis38
Mean1.026315789
Median Absolute Deviation (MAD)0
Skewness6.164414003
Sum39
Variance0.02631578947
MonotonicityNot monotonic
2025-02-26T17:43:51.637842image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 37
92.5%
2 1
 
2.5%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 37
92.5%
2 1
 
2.5%
ValueCountFrequency (%)
2 1
 
2.5%
1 37
92.5%

w1_A01
Real number (ℝ)

Which gender were you born? 1. Male, 2. Female?

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.475
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:51.675640image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5057363253
Coefficient of variation (CV)0.342872085
Kurtosis-2.096706917
Mean1.475
Median Absolute Deviation (MAD)0
Skewness0.1040692082
Sum59
Variance0.2557692308
MonotonicityNot monotonic
2025-02-26T17:43:51.712154image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 21
52.5%
2 19
47.5%
ValueCountFrequency (%)
1 21
52.5%
2 19
47.5%
ValueCountFrequency (%)
2 19
47.5%
1 21
52.5%

w1_A02
Real number (ℝ)

Missing 

When were you born? Year:

Distinct13
Distinct (%)34.2%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean1995.947368
Minimum1984
Maximum2004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:51.748843image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1984
5-th percentile1990.85
Q11994
median1996
Q31997.75
95-th percentile2004
Maximum2004
Range20
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation3.755697426
Coefficient of variation (CV)0.001881661554
Kurtosis2.51802677
Mean1995.947368
Median Absolute Deviation (MAD)2
Skewness-0.2281147193
Sum75846
Variance14.10526316
MonotonicityNot monotonic
2025-02-26T17:43:51.847911image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1997 7
17.5%
1995 6
15.0%
1994 6
15.0%
1998 5
12.5%
2004 3
7.5%
1996 3
7.5%
1993 2
 
5.0%
1999 1
 
2.5%
1992 1
 
2.5%
1990 1
 
2.5%
Other values (3) 3
7.5%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1984 1
2.5%
1990 1
2.5%
1991 1
2.5%
1992 1
2.5%
1993 2
5.0%
ValueCountFrequency (%)
2004 3
7.5%
2001 1
 
2.5%
1999 1
 
2.5%
1998 5
12.5%
1997 7
17.5%

w1_A03
Real number (ℝ)

Missing 

What is your nationality? [List, see Appendix]

Distinct2
Distinct (%)5.3%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean133
Minimum59
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:51.886824image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum59
5-th percentile135
Q1135
median135
Q3135
95-th percentile135
Maximum135
Range76
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.32882801
Coefficient of variation (CV)0.09269795493
Kurtosis38
Mean133
Median Absolute Deviation (MAD)0
Skewness-6.164414003
Sum5054
Variance152
MonotonicityNot monotonic
2025-02-26T17:43:51.925246image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
135 37
92.5%
59 1
 
2.5%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
59 1
 
2.5%
135 37
92.5%
ValueCountFrequency (%)
135 37
92.5%
59 1
 
2.5%

w1_A03JLU
Unsupported

Missing  Rejected  Unsupported 

What is your nationality? [List, see Appendix]

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A04AMRITA
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer:

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A04AMRITA_other
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer:

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A04AAU
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04AAU. [List, see Appendix]:1. Electronic Systems 2. Architecture, Design and Media Technology 3. Chemistry and Bioscience 4. Communication and Psychology 5. Culture and Learning 6. Planning 7. Mathematical Sciences 8. Materials and Production 9. Business and Management 10. Sociology and Social Work 11. Political Science 12. Clinical Medicine 13. Built Environment

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A04JLU
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04JLU. [List, see Appendix]1. School of Philosophy and Society 2. Art college 3. Archaeological Institute 4. Foreign Language School 5. Art Academy 6. Sports Academy 7. School of Mathematics 8. School of Physics 9. School of Chemistry 10. College of Life Sciences 11. School of Electronic Science and Engineering 12. School of Communication Engineering 13. School of Computer Science and Technology 14. Software College 15. School of Economics 16. Law school 17. School of Administration 18. Business school 19. Institute of Finance 20. School of Mechanical Engineering 21. School of Automotive Engineering 22. material science and Engineering School 23. Jiaotong University 24. College of Biological and Agricultural Engineering 25. School of Management 26. School of Food Science and Engineering 27. School of Earth Sciences 28. School of Earth Exploration Science and Technology 29. School of Construction Engineering 30. School of New Energy and Environment 31. School of Instrument Science and Electrical Engineering 32. Basic Medical School 33. School of Public Health 34. College of Pharmacy 35. School of Nursing 36. School of Clinical Medicine 37. Bethune First Hospital 38. Bethune Second Hospital 39. Bethune Third Hospital 40. Bethune Dental Hospital 41. School of Animal Medicine 42. Faculty of Plant Science 43. College of Animal Science 44. Artificial Intelligence Academy

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A04LSE
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04LSE. [List, see Appendix]1. Department of Accounting 2. Department of Anthropology 3. Department of Economics 4. Department of Economic History 5. European Institute 6. Department of Finance 7. Department of Gender Studies 8. Department of Geography and Environment 9. Institute of Global Affairs (IGA) 10. Department of Government 11. Department of Health Policy 12. Department of International Development 13. Department of International History 14. International Inequalities Institute 15. Department of International Relations 16. Language Centre 17. Department of Law 18. Department of Management 19. Marshall Institute 20. Department of Mathematics 21. Department of Media and Communications 22. Department of Methodology 23. Department of Philosophy, Logic and Scientific Method 24. Department of Psychological and Behavioural Science 25. School of Public Policy (formerly Institute of Public Affairs) 26. Department of Social Policy 27. Department of Sociology 28. Department of Statistics

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A04NUM
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04NUM. [List, see Appendix]1. Business School 2. School of International Relations and Public Administration 3. School of Law 4. School of Engineering and Applied Sciences 5. School of Sciences – Division of Social Sciences 6. School of Sciences – Division of Natural Sciences 7. School of Sciences – Division of Humanities

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A04UC
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04UC. [List, see Appendix]1. Facultad de Ciencias Contables, Administrativas y Económicas 2. Facultad de Ciencias y Tecnología 3. Facultad de Ciencias de la Salud 4. Facultad de Ciencias Jurídicas y Diplomáticas 5. Facultad de Filosofía y Ciencias Humanas

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A04UNITN
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04UNITN. [List, see Appendix]1. CIBIO 2. Economics and Management 3. Faculty of Law 4. Physics 5. Civil, Environmental and Mechanical Engineering 6. Information Engineering and Computer Science 7. Industrial Engineering 8. Humanities 9. Mathematics 10. Psychology and Cognitive Science 11. Sociology and Social Research 12. Center Agriculture Food Environment 13. CIMeC - Centre for Mind/Brain Sciences 14. SSI - School of International Studies 15. Other structures

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A04IPICYT
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04IPICYT. [List, see Appendix]

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A05
Real number (ℝ)

Missing 

Type of degree: 1. BSc, 2. MSc, 3.PhD

Distinct2
Distinct (%)5.3%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean1.184210526
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:51.964664image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3928594521
Coefficient of variation (CV)0.3317479817
Kurtosis0.9256089533
Mean1.184210526
Median Absolute Deviation (MAD)0
Skewness1.696959722
Sum45
Variance0.1543385491
MonotonicityNot monotonic
2025-02-26T17:43:52.002295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 31
77.5%
2 7
 
17.5%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 31
77.5%
2 7
 
17.5%
ValueCountFrequency (%)
2 7
 
17.5%
1 31
77.5%

w1_A05UNITN
Unsupported

Missing  Rejected  Unsupported 

Type of degree: 1. BSc, 2. MSc, 3. 5 years

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A05AMRITA
Unsupported

Missing  Rejected  Unsupported 

Type of degree: 1. BSc, 2. MSc, 3.M.B.B.S, 4.MBA, 5.M.Tech, 6.B.Tech, 7.Integrated degree, 8.MHA, 9.B.Pharm, 10.M.D, 11.B.A.M.S, 12.BCA, 13.M.Pharm, 14.MCA, 15.M.S, 16.Mch

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A06
Real number (ℝ)

Missing 

Programme: 1. Full Time, 2. Part Time

Distinct2
Distinct (%)5.3%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean1.236842105
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:52.039684image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4308514842
Coefficient of variation (CV)0.3483480085
Kurtosis-0.3591315453
Mean1.236842105
Median Absolute Deviation (MAD)0
Skewness1.289436328
Sum47
Variance0.1856330014
MonotonicityNot monotonic
2025-02-26T17:43:52.077690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 29
72.5%
2 9
 
22.5%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 29
72.5%
2 9
 
22.5%
ValueCountFrequency (%)
2 9
 
22.5%
1 29
72.5%

w1_A07
Unsupported

Missing  Rejected  Unsupported 

[Not for LSE if A05=2 AND A06=1] Course year

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A08
Real number (ℝ)

Missing 

You are: 1. Regularly enrolled for a BAs/MAs degree, 2. Register on supplementary year

Distinct2
Distinct (%)5.3%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean1.131578947
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:52.116070image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3425699875
Coefficient of variation (CV)0.302736268
Kurtosis3.327330447
Mean1.131578947
Median Absolute Deviation (MAD)0
Skewness2.270420078
Sum43
Variance0.1173541963
MonotonicityNot monotonic
2025-02-26T17:43:52.154002image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 33
82.5%
2 5
 
12.5%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 33
82.5%
2 5
 
12.5%
ValueCountFrequency (%)
2 5
 
12.5%
1 33
82.5%

w1_A09
Unsupported

Missing  Rejected  Unsupported 

[Not for LSE, NUM, UC and UNITN] Where do you live during term time?: 1. In the town where the university is located. 2. Close to the city where the university is located (less than 1.30 hours of travel). [go to A11] 3. In another city away from where the university is located (more than 1.30 hours of travel) [go to A11] 4. Abroad (e.g., Erasmus student) [go to B01]

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A09UNITN
Unsupported

Missing  Rejected  Unsupported 

Where do you live during term time? [See Appendix] 1. Trento [go to A10UNITN] 2. Rovereto 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A09UC
Unsupported

Missing  Rejected  Unsupported 

Where do you live during term time? [See Appendix]1. Asunción [go to A10UC] 2. In the town where the university is located. 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A10UNITN
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? And exactly in which district of the town do you live? [See Appendix]1. Center (from Cristo Re/San Martino to Fersina) 2. Piedicastello/Vela 3. Trento North (from Gardolo to loc.Solteri/Via Brennero/Via Maccani) 4. North of Gardolo (Lavis, Meano, Spini) 5. Argentario (Cognola/Martignano/Montevaccino/Villamontagna) 6. East hill (Mesiano/Povo/Oltrecastello/San Donà/Cognola/Villazzano) 7. Trento South (Bolghera/Clarina/San Bartolomeo/Madonna Bianca/Villazzano Tre) 8. Mattarello/Ravina/Romagnano 9. Bondone/Cadine/Sardagna/Sopramonte

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A10AAU
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? And exactly in which neighbourhood of the town do you live? [See Appendix]1. Vesterbro/Kongens Enghave 2. Nørrebro 3. Østerbro 4. Amager Øst 5. Amager Vest 6. Valby 7. Bispebjerg 8. Vanløse 9. Brønshøj-Husum

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A10NUM
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? Please, enter the zip code of where you live during term time [See Appendix]

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A10LSE
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? What is your first three digits of post code? [See Appendix]1. London Central (30 minutes from LSE) 2. Outer London (1hour from LSE) 3. Outside London

Missing40
Missing (%)100.0%
Memory size457.0 B

w1_A10UC
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? What area exactly do you live in? [See Appendix]1. Centro 2. Sajonia 3. San Vicente y Santa Ana 4. Mcal López1 (entre Brasil y Gral Santos) 5. España1 (entre Brasil y Gral Santos) 6. Mcal López2 (entre Gral Santos y Rca. Argentina) 7. España2 (entre Gral Santos y Rca. Argentina) 8. Pinoza/ Seminario 9. Los Laureles 10. Shopping del Sol hasta calle Última 11. Trinidad 12. Loma Pyta

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A10IPICYT
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? In which area do you live? [See Appendix]

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A11NUM
Unsupported

Missing  Rejected  Unsupported 

What kind of accommodation are you living in? [See Appendix]1. University dormitory (dormitory) 2. In the university apartment 3. Dormitory (Private dormitory) 4. Rental apartment / house 5. Own apartment or house (may be yours, parents 'or relatives') 6. As a private guest / guest (adjoining room for rent) 7. As a friend or guest of friends 8. Mongolian ger and fence 9. Fence in the house

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_A11
Unsupported

Missing  Rejected  Unsupported 

What kind of accommodation are you living in? 1. University students’ Residence (dormitory) (e.g. LSE Hall of Residence, San Bartolameo, Danmarks Internationale Kollegium) 2. University flat 3. University campus4. A private sector Hall of Residence (Private students’ dormitory)5. Rental house/flat 6. in a house/apartment owned (by you, your parents, or relatives) 7. guest of a private person8. guest of friend or friends

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B01_1
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am the life of the party

Distinct5
Distinct (%)13.2%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean3.026315789
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:52.190762image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.85
Q12
median3
Q34
95-th percentile4.15
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9722318182
Coefficient of variation (CV)0.3212592095
Kurtosis-0.3050201125
Mean3.026315789
Median Absolute Deviation (MAD)1
Skewness-0.05469149501
Sum115
Variance0.9452347084
MonotonicityNot monotonic
2025-02-26T17:43:52.233305image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 15
37.5%
4 10
25.0%
2 9
22.5%
5 2
 
5.0%
1 2
 
5.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 2
 
5.0%
2 9
22.5%
3 15
37.5%
4 10
25.0%
5 2
 
5.0%
ValueCountFrequency (%)
5 2
 
5.0%
4 10
25.0%
3 15
37.5%
2 9
22.5%
1 2
 
5.0%

w1_B01_2
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Sympathize with others’ feelings

Distinct5
Distinct (%)13.2%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean4.052631579
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:52.273447image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9849507717
Coefficient of variation (CV)0.2430398008
Kurtosis1.460957713
Mean4.052631579
Median Absolute Deviation (MAD)1
Skewness-1.184492363
Sum154
Variance0.9701280228
MonotonicityNot monotonic
2025-02-26T17:43:52.314749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 16
40.0%
5 14
35.0%
3 5
 
12.5%
2 2
 
5.0%
1 1
 
2.5%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 1
 
2.5%
2 2
 
5.0%
3 5
 
12.5%
4 16
40.0%
5 14
35.0%
ValueCountFrequency (%)
5 14
35.0%
4 16
40.0%
3 5
 
12.5%
2 2
 
5.0%
1 1
 
2.5%

w1_B01_3
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get chores done right away

Distinct5
Distinct (%)13.2%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean3.184210526
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:52.354719image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12.25
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation0.9824201545
Coefficient of variation (CV)0.3085286435
Kurtosis-0.5839689133
Mean3.184210526
Median Absolute Deviation (MAD)1
Skewness-0.02925415081
Sum121
Variance0.9651493599
MonotonicityNot monotonic
2025-02-26T17:43:52.395993image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 13
32.5%
4 12
30.0%
2 9
22.5%
5 3
 
7.5%
1 1
 
2.5%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 1
 
2.5%
2 9
22.5%
3 13
32.5%
4 12
30.0%
5 3
 
7.5%
ValueCountFrequency (%)
5 3
 
7.5%
4 12
30.0%
3 13
32.5%
2 9
22.5%
1 1
 
2.5%

w1_B01_4
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have frequent mood swings

Distinct5
Distinct (%)13.2%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean2.631578947
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:52.435682image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.195058579
Coefficient of variation (CV)0.45412226
Kurtosis-0.3790321355
Mean2.631578947
Median Absolute Deviation (MAD)1
Skewness0.5734103551
Sum100
Variance1.428165007
MonotonicityNot monotonic
2025-02-26T17:43:52.477416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 14
35.0%
3 10
25.0%
1 6
15.0%
5 4
 
10.0%
4 4
 
10.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 6
15.0%
2 14
35.0%
3 10
25.0%
4 4
 
10.0%
5 4
 
10.0%
ValueCountFrequency (%)
5 4
 
10.0%
4 4
 
10.0%
3 10
25.0%
2 14
35.0%
1 6
15.0%

w1_B01_5
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have a vivid imagination

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.864864865
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:52.517552image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.004494405
Coefficient of variation (CV)0.2599041467
Kurtosis0.4352742883
Mean3.864864865
Median Absolute Deviation (MAD)1
Skewness-0.7585804285
Sum143
Variance1.009009009
MonotonicityNot monotonic
2025-02-26T17:43:52.558693image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 14
35.0%
5 11
27.5%
3 9
22.5%
2 2
 
5.0%
1 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 1
 
2.5%
2 2
 
5.0%
3 9
22.5%
4 14
35.0%
5 11
27.5%
ValueCountFrequency (%)
5 11
27.5%
4 14
35.0%
3 9
22.5%
2 2
 
5.0%
1 1
 
2.5%

w1_B01_6
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Don’t talk a lot

Distinct5
Distinct (%)13.2%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean2.763157895
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:52.600099image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33.75
95-th percentile4.15
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.149246769
Coefficient of variation (CV)0.4159178784
Kurtosis-0.7290840607
Mean2.763157895
Median Absolute Deviation (MAD)1
Skewness-0.07091031308
Sum105
Variance1.320768137
MonotonicityNot monotonic
2025-02-26T17:43:52.641420image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 14
35.0%
4 8
20.0%
1 7
17.5%
2 7
17.5%
5 2
 
5.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 7
17.5%
2 7
17.5%
3 14
35.0%
4 8
20.0%
5 2
 
5.0%
ValueCountFrequency (%)
5 2
 
5.0%
4 8
20.0%
3 14
35.0%
2 7
17.5%
1 7
17.5%

w1_B01_7
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in other people’s problems

Distinct5
Distinct (%)13.2%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:52.682474image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.202474925
Coefficient of variation (CV)0.4809899701
Kurtosis-0.09128848849
Mean2.5
Median Absolute Deviation (MAD)1
Skewness0.6891290776
Sum95
Variance1.445945946
MonotonicityNot monotonic
2025-02-26T17:43:52.722916image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 13
32.5%
3 11
27.5%
1 8
20.0%
5 4
 
10.0%
4 2
 
5.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 8
20.0%
2 13
32.5%
3 11
27.5%
4 2
 
5.0%
5 4
 
10.0%
ValueCountFrequency (%)
5 4
 
10.0%
4 2
 
5.0%
3 11
27.5%
2 13
32.5%
1 8
20.0%

w1_B01_8
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Often forget to put things back in their proper place

Distinct5
Distinct (%)13.2%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean2.815789474
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:52.763330image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.352780183
Coefficient of variation (CV)0.4804266072
Kurtosis-1.334391727
Mean2.815789474
Median Absolute Deviation (MAD)1
Skewness-0.1307207039
Sum107
Variance1.830014225
MonotonicityNot monotonic
2025-02-26T17:43:52.803909image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 12
30.0%
1 10
25.0%
3 8
20.0%
2 5
12.5%
5 3
 
7.5%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 10
25.0%
2 5
12.5%
3 8
20.0%
4 12
30.0%
5 3
 
7.5%
ValueCountFrequency (%)
5 3
 
7.5%
4 12
30.0%
3 8
20.0%
2 5
12.5%
1 10
25.0%

w1_B01_9
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am relaxed most of the time

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.324324324
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:52.843599image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.001500376
Coefficient of variation (CV)0.3012643407
Kurtosis0.01683165647
Mean3.324324324
Median Absolute Deviation (MAD)1
Skewness-0.5377304135
Sum123
Variance1.003003003
MonotonicityNot monotonic
2025-02-26T17:43:52.885570image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 15
37.5%
3 12
30.0%
2 5
 
12.5%
5 3
 
7.5%
1 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 2
 
5.0%
2 5
 
12.5%
3 12
30.0%
4 15
37.5%
5 3
 
7.5%
ValueCountFrequency (%)
5 3
 
7.5%
4 15
37.5%
3 12
30.0%
2 5
 
12.5%
1 2
 
5.0%

w1_B01_10
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in abstract ideas

Distinct4
Distinct (%)10.8%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.540540541
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:52.924240image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9307880351
Coefficient of variation (CV)0.3663740138
Kurtosis-0.8142341097
Mean2.540540541
Median Absolute Deviation (MAD)1
Skewness0.2031678613
Sum94
Variance0.8663663664
MonotonicityNot monotonic
2025-02-26T17:43:52.961838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 16
40.0%
3 10
25.0%
4 7
17.5%
1 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 4
 
10.0%
2 16
40.0%
3 10
25.0%
4 7
17.5%
ValueCountFrequency (%)
4 7
17.5%
3 10
25.0%
2 16
40.0%
1 4
 
10.0%

w1_B01_11
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Talk to a lot of different people at parties

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.945945946
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:52.999471image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.311190001
Coefficient of variation (CV)0.4450828444
Kurtosis-1.120229323
Mean2.945945946
Median Absolute Deviation (MAD)1
Skewness0.02660529089
Sum109
Variance1.719219219
MonotonicityNot monotonic
2025-02-26T17:43:53.039386image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 9
22.5%
2 9
22.5%
3 8
20.0%
1 6
15.0%
5 5
12.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 6
15.0%
2 9
22.5%
3 8
20.0%
4 9
22.5%
5 5
12.5%
ValueCountFrequency (%)
5 5
12.5%
4 9
22.5%
3 8
20.0%
2 9
22.5%
1 6
15.0%

w1_B01_12
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Feel others’ emotions

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.648648649
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:53.078264image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.059775034
Coefficient of variation (CV)0.2904568612
Kurtosis0.4285544147
Mean3.648648649
Median Absolute Deviation (MAD)1
Skewness-0.7099680525
Sum135
Variance1.123123123
MonotonicityNot monotonic
2025-02-26T17:43:53.119838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 14
35.0%
3 11
27.5%
5 8
20.0%
2 2
 
5.0%
1 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 2
 
5.0%
2 2
 
5.0%
3 11
27.5%
4 14
35.0%
5 8
20.0%
ValueCountFrequency (%)
5 8
20.0%
4 14
35.0%
3 11
27.5%
2 2
 
5.0%
1 2
 
5.0%

w1_B01_13
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Like order

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.945945946
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:53.160908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9984973695
Coefficient of variation (CV)0.2530438539
Kurtosis0.8406483939
Mean3.945945946
Median Absolute Deviation (MAD)1
Skewness-0.9490594764
Sum146
Variance0.996996997
MonotonicityNot monotonic
2025-02-26T17:43:53.201945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 15
37.5%
5 12
30.0%
3 7
17.5%
2 2
 
5.0%
1 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 1
 
2.5%
2 2
 
5.0%
3 7
17.5%
4 15
37.5%
5 12
30.0%
ValueCountFrequency (%)
5 12
30.0%
4 15
37.5%
3 7
17.5%
2 2
 
5.0%
1 1
 
2.5%

w1_B01_14
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get upset easily

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.918918919
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:53.243040image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4.2
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.163767311
Coefficient of variation (CV)0.3986980603
Kurtosis-0.974888938
Mean2.918918919
Median Absolute Deviation (MAD)1
Skewness-0.169923169
Sum108
Variance1.354354354
MonotonicityNot monotonic
2025-02-26T17:43:53.284110image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 12
30.0%
2 9
22.5%
3 9
22.5%
1 5
12.5%
5 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 5
12.5%
2 9
22.5%
3 9
22.5%
4 12
30.0%
5 2
 
5.0%
ValueCountFrequency (%)
5 2
 
5.0%
4 12
30.0%
3 9
22.5%
2 9
22.5%
1 5
12.5%

w1_B01_15
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have difficulty understanding abstract ideas

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.621621622
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:53.323674image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.232687925
Coefficient of variation (CV)0.4702005486
Kurtosis-0.5677363189
Mean2.621621622
Median Absolute Deviation (MAD)1
Skewness0.5972954904
Sum97
Variance1.51951952
MonotonicityNot monotonic
2025-02-26T17:43:53.365460image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 15
37.5%
3 7
17.5%
1 6
 
15.0%
4 5
 
12.5%
5 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 6
 
15.0%
2 15
37.5%
3 7
17.5%
4 5
 
12.5%
5 4
 
10.0%
ValueCountFrequency (%)
5 4
 
10.0%
4 5
 
12.5%
3 7
17.5%
2 15
37.5%
1 6
 
15.0%

w1_B01_16
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Keep in the background

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.702702703
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:53.405517image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.050525394
Coefficient of variation (CV)0.3886943958
Kurtosis-0.698784974
Mean2.702702703
Median Absolute Deviation (MAD)1
Skewness0.03563398138
Sum100
Variance1.103603604
MonotonicityNot monotonic
2025-02-26T17:43:53.446841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 12
30.0%
2 11
27.5%
4 8
20.0%
1 5
12.5%
5 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 5
12.5%
2 11
27.5%
3 12
30.0%
4 8
20.0%
5 1
 
2.5%
ValueCountFrequency (%)
5 1
 
2.5%
4 8
20.0%
3 12
30.0%
2 11
27.5%
1 5
12.5%

w1_B01_17
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not really interested in others

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.918918919
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:53.486556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3.2
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.010455848
Coefficient of variation (CV)0.5265755828
Kurtosis0.8636107266
Mean1.918918919
Median Absolute Deviation (MAD)1
Skewness1.023541701
Sum71
Variance1.021021021
MonotonicityNot monotonic
2025-02-26T17:43:53.527816image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 16
40.0%
2 11
27.5%
3 8
20.0%
4 1
 
2.5%
5 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 16
40.0%
2 11
27.5%
3 8
20.0%
4 1
 
2.5%
5 1
 
2.5%
ValueCountFrequency (%)
5 1
 
2.5%
4 1
 
2.5%
3 8
20.0%
2 11
27.5%
1 16
40.0%

w1_B01_18
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Make a mess of things

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:53.568594image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.130388331
Coefficient of variation (CV)0.5651941653
Kurtosis0.06959698813
Mean2
Median Absolute Deviation (MAD)1
Skewness0.9758642763
Sum74
Variance1.277777778
MonotonicityNot monotonic
2025-02-26T17:43:53.609887image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 16
40.0%
2 11
27.5%
3 5
 
12.5%
4 4
 
10.0%
5 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 16
40.0%
2 11
27.5%
3 5
 
12.5%
4 4
 
10.0%
5 1
 
2.5%
ValueCountFrequency (%)
5 1
 
2.5%
4 4
 
10.0%
3 5
 
12.5%
2 11
27.5%
1 16
40.0%

w1_B01_19
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Seldom feel blue

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.864864865
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:53.651288image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.250825553
Coefficient of variation (CV)0.4366089195
Kurtosis-1.05146482
Mean2.864864865
Median Absolute Deviation (MAD)1
Skewness0.1789440607
Sum106
Variance1.564564565
MonotonicityNot monotonic
2025-02-26T17:43:53.692127image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 12
30.0%
4 9
22.5%
3 7
17.5%
1 5
12.5%
5 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 5
12.5%
2 12
30.0%
3 7
17.5%
4 9
22.5%
5 4
 
10.0%
ValueCountFrequency (%)
5 4
 
10.0%
4 9
22.5%
3 7
17.5%
2 12
30.0%
1 5
12.5%

w1_B01_20
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Do not have a good imagination

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.027027027
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:53.732954image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.040472288
Coefficient of variation (CV)0.5132996622
Kurtosis0.7239076253
Mean2.027027027
Median Absolute Deviation (MAD)1
Skewness1.038607157
Sum75
Variance1.082582583
MonotonicityNot monotonic
2025-02-26T17:43:53.774327image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 15
37.5%
1 13
32.5%
3 5
 
12.5%
4 3
 
7.5%
5 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 13
32.5%
2 15
37.5%
3 5
 
12.5%
4 3
 
7.5%
5 1
 
2.5%
ValueCountFrequency (%)
5 1
 
2.5%
4 3
 
7.5%
3 5
 
12.5%
2 15
37.5%
1 13
32.5%

w1_B02_1
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SOCIAL SUPPORT. To obtain help when you need it; to feel that you are not alone in the world.

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean6.054054054
Minimum3
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:53.814680image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q15
median6
Q37
95-th percentile7
Maximum7
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.129059243
Coefficient of variation (CV)0.1864963929
Kurtosis0.03391986919
Mean6.054054054
Median Absolute Deviation (MAD)1
Skewness-0.9680478224
Sum224
Variance1.274774775
MonotonicityNot monotonic
2025-02-26T17:43:53.857080image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 18
45.0%
6 8
20.0%
5 7
 
17.5%
4 3
 
7.5%
3 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
3 1
 
2.5%
4 3
 
7.5%
5 7
 
17.5%
6 8
20.0%
7 18
45.0%
ValueCountFrequency (%)
7 18
45.0%
6 8
20.0%
5 7
 
17.5%
4 3
 
7.5%
3 1
 
2.5%

w1_B02_2
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SUCCESS. To reach your goals; to be efficient in everything you do.

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean6.324324324
Minimum3
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:53.897833image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q16
median7
Q37
95-th percentile7
Maximum7
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.055516042
Coefficient of variation (CV)0.1668978356
Kurtosis1.959512736
Mean6.324324324
Median Absolute Deviation (MAD)0
Skewness-1.605296905
Sum234
Variance1.114114114
MonotonicityNot monotonic
2025-02-26T17:43:54.002302image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 23
57.5%
6 7
 
17.5%
5 4
 
10.0%
4 2
 
5.0%
3 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
3 1
 
2.5%
4 2
 
5.0%
5 4
 
10.0%
6 7
 
17.5%
7 23
57.5%
ValueCountFrequency (%)
7 23
57.5%
6 7
 
17.5%
5 4
 
10.0%
4 2
 
5.0%
3 1
 
2.5%

w1_B02_3
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SEXUALITY. To have sexual relationships; to obtain sexual pleasure.

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean5.135135135
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:54.041790image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.8
Q14
median5
Q36
95-th percentile7
Maximum7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.357329121
Coefficient of variation (CV)0.2643219867
Kurtosis-0.1288187204
Mean5.135135135
Median Absolute Deviation (MAD)1
Skewness-0.5399336168
Sum190
Variance1.842342342
MonotonicityNot monotonic
2025-02-26T17:43:54.079955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 10
25.0%
5 10
25.0%
4 7
17.5%
7 6
15.0%
2 2
 
5.0%
3 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
2 2
 
5.0%
3 2
 
5.0%
4 7
17.5%
5 10
25.0%
6 10
25.0%
ValueCountFrequency (%)
7 6
15.0%
6 10
25.0%
5 10
25.0%
4 7
17.5%
3 2
 
5.0%

w1_B02_4
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: KNOWLEDGE. To look for up-to-date news on not very well-known matters; to try to discover new things about the world.

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean5.918918919
Minimum3
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:54.116736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q15
median6
Q37
95-th percentile7
Maximum7
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.115008181
Coefficient of variation (CV)0.1883803776
Kurtosis-0.2907936331
Mean5.918918919
Median Absolute Deviation (MAD)1
Skewness-0.7222184707
Sum219
Variance1.243243243
MonotonicityNot monotonic
2025-02-26T17:43:54.157988image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 15
37.5%
6 9
22.5%
5 9
22.5%
4 3
 
7.5%
3 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
3 1
 
2.5%
4 3
 
7.5%
5 9
22.5%
6 9
22.5%
7 15
37.5%
ValueCountFrequency (%)
7 15
37.5%
6 9
22.5%
5 9
22.5%
4 3
 
7.5%
3 1
 
2.5%

w1_B02_5
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: EMOTION. To enjoy challenges or unknown situations; to look for adventure.

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean5.891891892
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:54.198743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q15
median6
Q37
95-th percentile7
Maximum7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.219831131
Coefficient of variation (CV)0.2070355589
Kurtosis1.433495515
Mean5.891891892
Median Absolute Deviation (MAD)1
Skewness-1.238931571
Sum218
Variance1.487987988
MonotonicityNot monotonic
2025-02-26T17:43:54.236044image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 14
35.0%
6 13
32.5%
4 5
 
12.5%
5 4
 
10.0%
2 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
2 1
 
2.5%
4 5
 
12.5%
5 4
 
10.0%
6 13
32.5%
7 14
35.0%
ValueCountFrequency (%)
7 14
35.0%
6 13
32.5%
5 4
 
10.0%
4 5
 
12.5%
2 1
 
2.5%

w1_B02_6
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: POWER. To have the power to influence others and to control decisions; to be the boss of a team.

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean4.459459459
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:54.272620image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median5
Q35
95-th percentile6.2
Maximum7
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.406228103
Coefficient of variation (CV)0.3153359988
Kurtosis-0.5846025423
Mean4.459459459
Median Absolute Deviation (MAD)1
Skewness-0.3243439158
Sum165
Variance1.977477477
MonotonicityNot monotonic
2025-02-26T17:43:54.311152image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 13
32.5%
4 7
17.5%
6 6
15.0%
2 5
 
12.5%
3 4
 
10.0%
7 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
2 5
 
12.5%
3 4
 
10.0%
4 7
17.5%
5 13
32.5%
6 6
15.0%
ValueCountFrequency (%)
7 2
 
5.0%
6 6
15.0%
5 13
32.5%
4 7
17.5%
3 4
 
10.0%

w1_B02_7
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: AFFECTIVITY. To have a deep and enduring affectionate relationship; to have somebody to share successes and failures.

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean5.837837838
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:54.348038image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.364500591
Coefficient of variation (CV)0.2337338975
Kurtosis1.023943188
Mean5.837837838
Median Absolute Deviation (MAD)1
Skewness-1.285728927
Sum216
Variance1.861861862
MonotonicityNot monotonic
2025-02-26T17:43:54.386673image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
7 15
37.5%
6 11
27.5%
5 6
 
15.0%
3 3
 
7.5%
2 1
 
2.5%
4 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
2 1
 
2.5%
3 3
 
7.5%
4 1
 
2.5%
5 6
15.0%
6 11
27.5%
ValueCountFrequency (%)
7 15
37.5%
6 11
27.5%
5 6
 
15.0%
4 1
 
2.5%
3 3
 
7.5%

w1_B02_8
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: RELIGIOSITY. To believe in God as the savior of humanity; to fulfill the will of God.

Distinct4
Distinct (%)33.3%
Missing28
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean5.333333333
Minimum4
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:54.421728image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q14
median5.5
Q36.25
95-th percentile7
Maximum7
Range3
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.302677895
Coefficient of variation (CV)0.2442521052
Kurtosis-1.868877551
Mean5.333333333
Median Absolute Deviation (MAD)1.5
Skewness0.1425634737
Sum64
Variance1.696969697
MonotonicityNot monotonic
2025-02-26T17:43:54.458596image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 5
 
12.5%
6 3
 
7.5%
7 3
 
7.5%
5 1
 
2.5%
(Missing) 28
70.0%
ValueCountFrequency (%)
4 5
12.5%
5 1
 
2.5%
6 3
7.5%
7 3
7.5%
ValueCountFrequency (%)
7 3
7.5%
6 3
7.5%
5 1
 
2.5%
4 5
12.5%

w1_B02_9
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: HEALTH. To look after your health at all times, not just when sick; not to be sick.

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean6.216216216
Minimum3
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:54.495612image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.8
Q16
median7
Q37
95-th percentile7
Maximum7
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.003746735
Coefficient of variation (CV)0.1614723008
Kurtosis1.629313832
Mean6.216216216
Median Absolute Deviation (MAD)0
Skewness-1.332838865
Sum230
Variance1.007507508
MonotonicityNot monotonic
2025-02-26T17:43:54.537636image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
7 19
47.5%
6 10
25.0%
5 6
 
15.0%
4 1
 
2.5%
3 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
3 1
 
2.5%
4 1
 
2.5%
5 6
 
15.0%
6 10
25.0%
7 19
47.5%
ValueCountFrequency (%)
7 19
47.5%
6 10
25.0%
5 6
 
15.0%
4 1
 
2.5%
3 1
 
2.5%

w1_B02_10
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PLEASURE. To live for the moment; to satisfy all your desires.

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean5.513513514
Minimum3
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:54.578099image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q15
median6
Q36
95-th percentile7
Maximum7
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.260987744
Coefficient of variation (CV)0.2287085614
Kurtosis-0.7189619213
Mean5.513513514
Median Absolute Deviation (MAD)1
Skewness-0.5593888122
Sum204
Variance1.59009009
MonotonicityNot monotonic
2025-02-26T17:43:54.619899image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
6 13
32.5%
7 9
22.5%
4 6
15.0%
5 6
15.0%
3 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
3 3
 
7.5%
4 6
15.0%
5 6
15.0%
6 13
32.5%
7 9
22.5%
ValueCountFrequency (%)
7 9
22.5%
6 13
32.5%
5 6
15.0%
4 6
15.0%
3 3
 
7.5%

w1_B02_11
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PRESTIGE. To know that a lot of people know and admire you; when you are older to receive a homage for your contributions.

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean4.648648649
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:54.660151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median4
Q36
95-th percentile7
Maximum7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.457094068
Coefficient of variation (CV)0.3134446542
Kurtosis-0.8510972162
Mean4.648648649
Median Absolute Deviation (MAD)1
Skewness-0.02687501583
Sum172
Variance2.123123123
MonotonicityNot monotonic
2025-02-26T17:43:54.698171image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 13
32.5%
6 9
22.5%
5 4
 
10.0%
3 4
 
10.0%
7 4
 
10.0%
2 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
2 3
 
7.5%
3 4
 
10.0%
4 13
32.5%
5 4
 
10.0%
6 9
22.5%
ValueCountFrequency (%)
7 4
 
10.0%
6 9
22.5%
5 4
 
10.0%
4 13
32.5%
3 4
 
10.0%

w1_B02_12
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: OBEDIENCE. To fulfill your daily duties and obligations; to respect your parents, superiors, or elders.

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean5.378378378
Minimum3
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:54.735125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q14
median6
Q36
95-th percentile7
Maximum7
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.319750636
Coefficient of variation (CV)0.2453807716
Kurtosis-0.9569985911
Mean5.378378378
Median Absolute Deviation (MAD)1
Skewness-0.372775303
Sum199
Variance1.741741742
MonotonicityNot monotonic
2025-02-26T17:43:54.774984image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
6 10
25.0%
7 9
22.5%
5 8
20.0%
4 6
15.0%
3 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
3 4
 
10.0%
4 6
15.0%
5 8
20.0%
6 10
25.0%
7 9
22.5%
ValueCountFrequency (%)
7 9
22.5%
6 10
25.0%
5 8
20.0%
4 6
15.0%
3 4
 
10.0%

w1_B02_13
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PERSONAL STABILITY. To have the certainty that tomorrow you will have all that you have today; to have an organized and planned life.

Distinct4
Distinct (%)10.8%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean6.054054054
Minimum4
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:54.813567image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q16
median6
Q37
95-th percentile7
Maximum7
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9984973695
Coefficient of variation (CV)0.1649303691
Kurtosis-0.3158670472
Mean6.054054054
Median Absolute Deviation (MAD)1
Skewness-0.8208116899
Sum224
Variance0.996996997
MonotonicityNot monotonic
2025-02-26T17:43:54.850945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
7 15
37.5%
6 13
32.5%
5 5
 
12.5%
4 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
4 4
 
10.0%
5 5
 
12.5%
6 13
32.5%
7 15
37.5%
ValueCountFrequency (%)
7 15
37.5%
6 13
32.5%
5 5
 
12.5%
4 4
 
10.0%

w1_B02_14
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BELONGING. To have good neighborly relationships; to form part of a group (e.g., social, religious, sporting, etc.).

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean4.540540541
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:54.888848image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median5
Q36
95-th percentile6.2
Maximum7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.425844674
Coefficient of variation (CV)0.314025315
Kurtosis-0.6005058749
Mean4.540540541
Median Absolute Deviation (MAD)1
Skewness-0.3903018488
Sum168
Variance2.033033033
MonotonicityNot monotonic
2025-02-26T17:43:54.927154image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 11
27.5%
6 8
20.0%
4 8
20.0%
2 5
12.5%
3 3
 
7.5%
7 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
2 5
12.5%
3 3
 
7.5%
4 8
20.0%
5 11
27.5%
6 8
20.0%
ValueCountFrequency (%)
7 2
 
5.0%
6 8
20.0%
5 11
27.5%
4 8
20.0%
3 3
 
7.5%

w1_B02_15
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BEAUTY. To be able to appreciate the best in art, music, and literature; to go to museums or exhibitions where you can see beautiful things.

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean5.243243243
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:54.963032image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.8
Q14
median5
Q36
95-th percentile7
Maximum7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.44155405
Coefficient of variation (CV)0.2749355662
Kurtosis-0.3130905503
Mean5.243243243
Median Absolute Deviation (MAD)1
Skewness-0.6285794811
Sum194
Variance2.078078078
MonotonicityNot monotonic
2025-02-26T17:43:55.001125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 10
25.0%
5 9
22.5%
7 8
20.0%
4 5
12.5%
3 3
 
7.5%
2 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
2 2
 
5.0%
3 3
 
7.5%
4 5
12.5%
5 9
22.5%
6 10
25.0%
ValueCountFrequency (%)
7 8
20.0%
6 10
25.0%
5 9
22.5%
4 5
12.5%
3 3
 
7.5%

w1_B02_16
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: TRADITION. To follow the social norms of your country; to respect the traditions of your society.

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean4.189189189
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:55.036915image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q35
95-th percentile7
Maximum7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.39119928
Coefficient of variation (CV)0.3320927312
Kurtosis-0.2888138938
Mean4.189189189
Median Absolute Deviation (MAD)1
Skewness0.2312473757
Sum155
Variance1.935435435
MonotonicityNot monotonic
2025-02-26T17:43:55.074407image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 11
27.5%
5 10
25.0%
3 6
15.0%
2 5
12.5%
7 3
 
7.5%
6 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
2 5
12.5%
3 6
15.0%
4 11
27.5%
5 10
25.0%
6 2
 
5.0%
ValueCountFrequency (%)
7 3
 
7.5%
6 2
 
5.0%
5 10
25.0%
4 11
27.5%
3 6
15.0%

w1_B02_17
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SURVIVAL. To have water, food, and shelter every day in your life; to live in a place with enough food.

Distinct3
Distinct (%)8.1%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean6.810810811
Minimum5
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:55.111011image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q17
median7
Q37
95-th percentile7
Maximum7
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4617501632
Coefficient of variation (CV)0.06779665095
Kurtosis6.084026945
Mean6.810810811
Median Absolute Deviation (MAD)0
Skewness-2.503378896
Sum252
Variance0.2132132132
MonotonicityNot monotonic
2025-02-26T17:43:55.151621image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
7 31
77.5%
6 5
 
12.5%
5 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
5 1
 
2.5%
6 5
 
12.5%
7 31
77.5%
ValueCountFrequency (%)
7 31
77.5%
6 5
 
12.5%
5 1
 
2.5%

w1_B02_18
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: MATURITY. To feel that your purpose in life has been fulfilled; to develop all your capacities.

Distinct3
Distinct (%)8.1%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean6.540540541
Minimum5
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:55.192406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q16
median7
Q37
95-th percentile7
Maximum7
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6909974511
Coefficient of variation (CV)0.1056483706
Kurtosis0.2406149501
Mean6.540540541
Median Absolute Deviation (MAD)0
Skewness-1.220939045
Sum242
Variance0.4774774775
MonotonicityNot monotonic
2025-02-26T17:43:55.232175image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
7 24
60.0%
6 9
 
22.5%
5 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
5 4
 
10.0%
6 9
 
22.5%
7 24
60.0%
ValueCountFrequency (%)
7 24
60.0%
6 9
 
22.5%
5 4
 
10.0%

w1_B02JLU_1
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_2
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_3
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_4
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_5
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_6
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_7
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_8
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_9
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_10
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_11
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_12
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_13
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_14
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_15
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_16
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_17
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_B02JLU_18
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_C01_1
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online live synchronous

Distinct11
Distinct (%)30.6%
Missing4
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean3.055555556
Minimum0
Maximum20
Zeros11
Zeros (%)27.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:55.274221image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile9.25
Maximum20
Range20
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.985290414
Coefficient of variation (CV)1.304276863
Kurtosis8.500417252
Mean3.055555556
Median Absolute Deviation (MAD)2
Skewness2.48881161
Sum110
Variance15.88253968
MonotonicityNot monotonic
2025-02-26T17:43:55.316841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 11
27.5%
2 6
15.0%
1 5
12.5%
5 3
 
7.5%
6 3
 
7.5%
3 2
 
5.0%
4 2
 
5.0%
7 1
 
2.5%
20 1
 
2.5%
10 1
 
2.5%
(Missing) 4
 
10.0%
ValueCountFrequency (%)
0 11
27.5%
1 5
12.5%
2 6
15.0%
3 2
 
5.0%
4 2
 
5.0%
ValueCountFrequency (%)
20 1
 
2.5%
10 1
 
2.5%
9 1
 
2.5%
7 1
 
2.5%
6 3
7.5%

w1_C01_2
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online recorded asynchronous

Distinct9
Distinct (%)25.0%
Missing4
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean1.388888889
Minimum0
Maximum9
Zeros22
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:55.357787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6.25
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.38180937
Coefficient of variation (CV)1.714902746
Kurtosis2.581191728
Mean1.388888889
Median Absolute Deviation (MAD)0
Skewness1.845378115
Sum50
Variance5.673015873
MonotonicityNot monotonic
2025-02-26T17:43:55.394010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 22
55.0%
1 4
 
10.0%
2 3
 
7.5%
6 2
 
5.0%
4 1
 
2.5%
7 1
 
2.5%
9 1
 
2.5%
3 1
 
2.5%
5 1
 
2.5%
(Missing) 4
 
10.0%
ValueCountFrequency (%)
0 22
55.0%
1 4
 
10.0%
2 3
 
7.5%
3 1
 
2.5%
4 1
 
2.5%
ValueCountFrequency (%)
9 1
2.5%
7 1
2.5%
6 2
5.0%
5 1
2.5%
4 1
2.5%

w1_C01_3
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Partly synchronously and partly asynchronously

Distinct4
Distinct (%)11.1%
Missing4
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean0.3055555556
Minimum0
Maximum6
Zeros31
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:55.426965image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.25
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.064208477
Coefficient of variation (CV)3.482864107
Kurtosis24.77440705
Mean0.3055555556
Median Absolute Deviation (MAD)0
Skewness4.759915745
Sum11
Variance1.132539683
MonotonicityNot monotonic
2025-02-26T17:43:55.464534image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 31
77.5%
1 3
 
7.5%
6 1
 
2.5%
2 1
 
2.5%
(Missing) 4
 
10.0%
ValueCountFrequency (%)
0 31
77.5%
1 3
 
7.5%
2 1
 
2.5%
6 1
 
2.5%
ValueCountFrequency (%)
6 1
 
2.5%
2 1
 
2.5%
1 3
 
7.5%
0 31
77.5%

w1_C01_4
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: In presence

Distinct2
Distinct (%)5.6%
Missing4
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean0.1666666667
Minimum0
Maximum1
Zeros30
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:55.502097image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.377964473
Coefficient of variation (CV)2.267786838
Kurtosis1.572192513
Mean0.1666666667
Median Absolute Deviation (MAD)0
Skewness1.867589161
Sum6
Variance0.1428571429
MonotonicityNot monotonic
2025-02-26T17:43:55.540450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 30
75.0%
1 6
 
15.0%
(Missing) 4
 
10.0%
ValueCountFrequency (%)
0 30
75.0%
1 6
 
15.0%
ValueCountFrequency (%)
1 6
 
15.0%
0 30
75.0%

w1_C02_1
Real number (ℝ)

Missing 

How often do you attend workshops or other academic activities? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.27027027
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:55.576594image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.216749966
Coefficient of variation (CV)0.3720640393
Kurtosis-1.017848661
Mean3.27027027
Median Absolute Deviation (MAD)1
Skewness0.0335079451
Sum121
Variance1.48048048
MonotonicityNot monotonic
2025-02-26T17:43:55.617234image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 11
27.5%
2 9
22.5%
5 8
20.0%
4 7
17.5%
1 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 2
 
5.0%
2 9
22.5%
3 11
27.5%
4 7
17.5%
5 8
20.0%
ValueCountFrequency (%)
5 8
20.0%
4 7
17.5%
3 11
27.5%
2 9
22.5%
1 2
 
5.0%

w1_C02_2
Real number (ℝ)

Missing 

How often do you take notes in class? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean4.108108108
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:55.658093image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.242394279
Coefficient of variation (CV)0.3024249231
Kurtosis0.4069317839
Mean4.108108108
Median Absolute Deviation (MAD)0
Skewness-1.226070459
Sum152
Variance1.543543544
MonotonicityNot monotonic
2025-02-26T17:43:55.697941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 21
52.5%
4 6
 
15.0%
3 5
 
12.5%
2 3
 
7.5%
1 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 2
 
5.0%
2 3
 
7.5%
3 5
 
12.5%
4 6
 
15.0%
5 21
52.5%
ValueCountFrequency (%)
5 21
52.5%
4 6
 
15.0%
3 5
 
12.5%
2 3
 
7.5%
1 2
 
5.0%

w1_C02_3
Real number (ℝ)

Missing 

How often do you review and arrange notes at the end of the lecture? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.918918919
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:55.737104image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.299110345
Coefficient of variation (CV)0.4450655811
Kurtosis-1.139012467
Mean2.918918919
Median Absolute Deviation (MAD)1
Skewness-0.2437826475
Sum108
Variance1.687687688
MonotonicityNot monotonic
2025-02-26T17:43:55.778816image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 12
30.0%
3 9
22.5%
1 8
20.0%
2 5
12.5%
5 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 8
20.0%
2 5
12.5%
3 9
22.5%
4 12
30.0%
5 3
 
7.5%
ValueCountFrequency (%)
5 3
 
7.5%
4 12
30.0%
3 9
22.5%
2 5
12.5%
1 8
20.0%

w1_C02_4
Real number (ℝ)

Missing 

How often do you audio record the lecture? (1 “never” – 6 “very often”)

Distinct4
Distinct (%)10.8%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.216216216
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:55.817315image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.157946821
Coefficient of variation (CV)0.5224881998
Kurtosis-1.358869359
Mean2.216216216
Median Absolute Deviation (MAD)1
Skewness0.3464060814
Sum82
Variance1.340840841
MonotonicityNot monotonic
2025-02-26T17:43:55.855404image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 14
35.0%
3 8
20.0%
2 8
20.0%
4 7
17.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 14
35.0%
2 8
20.0%
3 8
20.0%
4 7
17.5%
ValueCountFrequency (%)
4 7
17.5%
3 8
20.0%
2 8
20.0%
1 14
35.0%

w1_C02_5
Real number (ℝ)

Missing 

How often do you study and review notes regularly during the class week? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.648648649
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:55.893493image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4.2
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.135689126
Coefficient of variation (CV)0.4287805882
Kurtosis-0.6811236842
Mean2.648648649
Median Absolute Deviation (MAD)1
Skewness0.2715811258
Sum98
Variance1.28978979
MonotonicityNot monotonic
2025-02-26T17:43:55.935039image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 12
30.0%
3 10
25.0%
4 7
17.5%
1 6
15.0%
5 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 6
15.0%
2 12
30.0%
3 10
25.0%
4 7
17.5%
5 2
 
5.0%
ValueCountFrequency (%)
5 2
 
5.0%
4 7
17.5%
3 10
25.0%
2 12
30.0%
1 6
15.0%

w1_C02_6
Real number (ℝ)

Missing 

How often do you schematize or summarize books or notes related to a course? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.891891892
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:55.974924image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.328821194
Coefficient of variation (CV)0.4594989176
Kurtosis-1.147916003
Mean2.891891892
Median Absolute Deviation (MAD)1
Skewness0.2836311201
Sum107
Variance1.765765766
MonotonicityNot monotonic
2025-02-26T17:43:56.015684image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 13
32.5%
4 7
17.5%
5 6
15.0%
3 6
15.0%
1 5
 
12.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 5
 
12.5%
2 13
32.5%
3 6
15.0%
4 7
17.5%
5 6
15.0%
ValueCountFrequency (%)
5 6
15.0%
4 7
17.5%
3 6
15.0%
2 13
32.5%
1 5
 
12.5%

w1_C02_7
Real number (ℝ)

Missing 

How often do you take part in the activities organized by the course? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.648648649
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:56.056350image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.15989023
Coefficient of variation (CV)0.3178958408
Kurtosis-0.8742182476
Mean3.648648649
Median Absolute Deviation (MAD)1
Skewness-0.3828542272
Sum135
Variance1.345345345
MonotonicityNot monotonic
2025-02-26T17:43:56.096586image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 11
27.5%
4 10
25.0%
3 9
22.5%
2 6
15.0%
1 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 1
 
2.5%
2 6
15.0%
3 9
22.5%
4 10
25.0%
5 11
27.5%
ValueCountFrequency (%)
5 11
27.5%
4 10
25.0%
3 9
22.5%
2 6
15.0%
1 1
 
2.5%

w1_C02_8
Real number (ℝ)

Missing 

How often do you use specialized websites (e.g., statistics, philosophy, physics…)? (1 “never” – 6 “very often”)

Distinct4
Distinct (%)11.1%
Missing4
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean3.944444444
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:56.136060image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.040451672
Coefficient of variation (CV)0.2637764803
Kurtosis-0.9331263604
Mean3.944444444
Median Absolute Deviation (MAD)1
Skewness-0.5285585468
Sum142
Variance1.082539683
MonotonicityNot monotonic
2025-02-26T17:43:56.237685image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 14
35.0%
4 10
25.0%
3 8
20.0%
2 4
 
10.0%
(Missing) 4
 
10.0%
ValueCountFrequency (%)
2 4
 
10.0%
3 8
20.0%
4 10
25.0%
5 14
35.0%
ValueCountFrequency (%)
5 14
35.0%
4 10
25.0%
3 8
20.0%
2 4
 
10.0%

w1_C02_9
Real number (ℝ)

Missing 

How often do you use question & answer sites (e.g., Quora, Stack Overflow, Answers.com)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.216216216
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:56.275601image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.336145683
Coefficient of variation (CV)0.4154402543
Kurtosis-1.024656989
Mean3.216216216
Median Absolute Deviation (MAD)1
Skewness-0.1977386305
Sum119
Variance1.785285285
MonotonicityNot monotonic
2025-02-26T17:43:56.315934image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 10
25.0%
5 8
20.0%
4 8
20.0%
2 6
15.0%
1 5
12.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 5
12.5%
2 6
15.0%
3 10
25.0%
4 8
20.0%
5 8
20.0%
ValueCountFrequency (%)
5 8
20.0%
4 8
20.0%
3 10
25.0%
2 6
15.0%
1 5
12.5%

w1_C02_10
Real number (ℝ)

Missing 

How often do you use university websites/platform tools for learning (e.g., Moodle, etc.)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.297297297
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:56.355656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.17532182
Coefficient of variation (CV)0.3564500603
Kurtosis-0.3773578577
Mean3.297297297
Median Absolute Deviation (MAD)1
Skewness-0.5123216865
Sum122
Variance1.381381381
MonotonicityNot monotonic
2025-02-26T17:43:56.396568image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 13
32.5%
3 11
27.5%
5 5
 
12.5%
1 4
 
10.0%
2 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 4
 
10.0%
2 4
 
10.0%
3 11
27.5%
4 13
32.5%
5 5
 
12.5%
ValueCountFrequency (%)
5 5
 
12.5%
4 13
32.5%
3 11
27.5%
2 4
 
10.0%
1 4
 
10.0%

w1_C02_11
Real number (ℝ)

Missing 

How often do you use commercial education platforms (e.g., Coursera, Udemy, Datacamp)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.675675676
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:56.436033image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.248422428
Coefficient of variation (CV)0.339644337
Kurtosis-0.7258170949
Mean3.675675676
Median Absolute Deviation (MAD)1
Skewness-0.6058843968
Sum136
Variance1.558558559
MonotonicityNot monotonic
2025-02-26T17:43:56.477292image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 12
30.0%
4 11
27.5%
2 6
15.0%
3 6
15.0%
1 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 2
 
5.0%
2 6
15.0%
3 6
15.0%
4 11
27.5%
5 12
30.0%
ValueCountFrequency (%)
5 12
30.0%
4 11
27.5%
3 6
15.0%
2 6
15.0%
1 2
 
5.0%

w1_C02_12
Unsupported

Missing  Rejected  Unsupported 

How often do you use virtual labs and Amrita University Management Systems? (1 “never” – 6 “very often”)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_D01
Real number (ℝ)

Missing 

About how many university students can you contact for help in studying?

Distinct11
Distinct (%)29.7%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean8.837837838
Minimum2
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:56.518388image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median5
Q310
95-th percentile20
Maximum50
Range48
Interquartile range (IQR)6

Descriptive statistics

Standard deviation8.801873265
Coefficient of variation (CV)0.9959306141
Kurtosis12.87285551
Mean8.837837838
Median Absolute Deviation (MAD)3
Skewness3.143738724
Sum327
Variance77.47297297
MonotonicityNot monotonic
2025-02-26T17:43:56.557812image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 9
22.5%
10 5
12.5%
2 4
10.0%
20 4
10.0%
3 3
 
7.5%
8 3
 
7.5%
4 3
 
7.5%
15 2
 
5.0%
6 2
 
5.0%
50 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
2 4
10.0%
3 3
 
7.5%
4 3
 
7.5%
5 9
22.5%
6 2
 
5.0%
ValueCountFrequency (%)
50 1
 
2.5%
20 4
10.0%
15 2
 
5.0%
10 5
12.5%
8 3
7.5%

w1_D02
Real number (ℝ)

Missing 

Are you in an informal study group(s) (beside the one you are in for the lab/class project)? 1) Yes 2) No [go to E01]

Distinct2
Distinct (%)5.3%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean1.710526316
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:56.594248image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4596058674
Coefficient of variation (CV)0.2686926609
Kurtosis-1.12714446
Mean1.710526316
Median Absolute Deviation (MAD)0
Skewness-0.9670121205
Sum65
Variance0.2112375533
MonotonicityNot monotonic
2025-02-26T17:43:56.631853image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 27
67.5%
1 11
27.5%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 11
27.5%
2 27
67.5%
ValueCountFrequency (%)
2 27
67.5%
1 11
27.5%

w1_D03
Real number (ℝ)

Missing 

How many informal study groups do you participate in?

Distinct4
Distinct (%)36.4%
Missing29
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean1.909090909
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:56.668420image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32.5
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.300349603
Coefficient of variation (CV)0.6811355065
Kurtosis2.130304081
Mean1.909090909
Median Absolute Deviation (MAD)0
Skewness1.53529156
Sum21
Variance1.690909091
MonotonicityNot monotonic
2025-02-26T17:43:56.708548image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 6
 
15.0%
3 2
 
5.0%
2 2
 
5.0%
5 1
 
2.5%
(Missing) 29
72.5%
ValueCountFrequency (%)
1 6
15.0%
2 2
 
5.0%
3 2
 
5.0%
5 1
 
2.5%
ValueCountFrequency (%)
5 1
 
2.5%
3 2
 
5.0%
2 2
 
5.0%
1 6
15.0%

w1_D04
Real number (ℝ)

Missing 

About how many people are in the informal study group? If you have more than one, think about the one you meet most often

Distinct8
Distinct (%)72.7%
Missing29
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean8.272727273
Minimum2
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:56.746773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median5
Q39.5
95-th percentile21
Maximum30
Range28
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation7.811413561
Coefficient of variation (CV)0.9442368041
Kurtosis6.954833177
Mean8.272727273
Median Absolute Deviation (MAD)1
Skewness2.500543207
Sum91
Variance61.01818182
MonotonicityNot monotonic
2025-02-26T17:43:56.782288image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 3
 
7.5%
5 2
 
5.0%
10 1
 
2.5%
30 1
 
2.5%
2 1
 
2.5%
9 1
 
2.5%
6 1
 
2.5%
12 1
 
2.5%
(Missing) 29
72.5%
ValueCountFrequency (%)
2 1
 
2.5%
4 3
7.5%
5 2
5.0%
6 1
 
2.5%
9 1
 
2.5%
ValueCountFrequency (%)
30 1
2.5%
12 1
2.5%
10 1
2.5%
9 1
2.5%
6 1
2.5%

w1_D05
Real number (ℝ)

Missing 

How often do you meet? If you meet more than one, think about the one you meet most often.1. Less than once a week2. Once a week3. Twice a week 4. Three days a week 5. Four days a week6. Five or more days a week

Distinct3
Distinct (%)27.3%
Missing29
Missing (%)72.5%
Infinite0
Infinite (%)0.0%
Mean1.818181818
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:56.818318image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32.5
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.8738628975
Coefficient of variation (CV)0.4806245936
Kurtosis-1.621315193
Mean1.818181818
Median Absolute Deviation (MAD)1
Skewness0.4086943823
Sum20
Variance0.7636363636
MonotonicityNot monotonic
2025-02-26T17:43:56.859209image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 5
 
12.5%
2 3
 
7.5%
3 3
 
7.5%
(Missing) 29
72.5%
ValueCountFrequency (%)
1 5
12.5%
2 3
7.5%
3 3
7.5%
ValueCountFrequency (%)
3 3
7.5%
2 3
7.5%
1 5
12.5%

w1_E01_1
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Twitter - Weibo

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean26.21621622
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:56.899320image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q35
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)4

Descriptive statistics

Standard deviation41.8622975
Coefficient of variation (CV)1.596809286
Kurtosis-0.4754723617
Mean26.21621622
Median Absolute Deviation (MAD)4
Skewness1.243108759
Sum970
Variance1752.451952
MonotonicityNot monotonic
2025-02-26T17:43:56.937772image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 10
25.0%
5 10
25.0%
99 9
22.5%
2 6
15.0%
3 1
 
2.5%
4 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 10
25.0%
2 6
15.0%
3 1
 
2.5%
4 1
 
2.5%
5 10
25.0%
ValueCountFrequency (%)
99 9
22.5%
5 10
25.0%
4 1
 
2.5%
3 1
 
2.5%
2 6
15.0%

w1_E01_2
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook

Distinct4
Distinct (%)10.8%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.378378378
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:56.973361image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3.4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9818166651
Coefficient of variation (CV)0.7122983649
Kurtosis9.172070659
Mean1.378378378
Median Absolute Deviation (MAD)0
Skewness3.059367827
Sum51
Variance0.963963964
MonotonicityNot monotonic
2025-02-26T17:43:57.014248image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 30
75.0%
2 4
 
10.0%
5 2
 
5.0%
3 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 30
75.0%
2 4
 
10.0%
3 1
 
2.5%
5 2
 
5.0%
ValueCountFrequency (%)
5 2
 
5.0%
3 1
 
2.5%
2 4
 
10.0%
1 30
75.0%

w1_E01_3
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : LinkedIn

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean26.81081081
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:57.054656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation41.5142799
Coefficient of variation (CV)1.548415682
Kurtosis-0.4743880247
Mean26.81081081
Median Absolute Deviation (MAD)2
Skewness1.244123373
Sum992
Variance1723.435435
MonotonicityNot monotonic
2025-02-26T17:43:57.092174image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 13
32.5%
99 9
22.5%
1 5
 
12.5%
3 5
 
12.5%
4 3
 
7.5%
2 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 5
 
12.5%
2 2
 
5.0%
3 5
 
12.5%
4 3
 
7.5%
5 13
32.5%
ValueCountFrequency (%)
99 9
22.5%
5 13
32.5%
4 3
 
7.5%
3 5
 
12.5%
2 2
 
5.0%

w1_E01_4
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : YouTube

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.648648649
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:57.129098image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.2
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.033231614
Coefficient of variation (CV)0.6267142575
Kurtosis1.946440028
Mean1.648648649
Median Absolute Deviation (MAD)0
Skewness1.573741803
Sum61
Variance1.067567568
MonotonicityNot monotonic
2025-02-26T17:43:57.169390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 24
60.0%
3 6
 
15.0%
2 5
 
12.5%
4 1
 
2.5%
5 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 24
60.0%
2 5
 
12.5%
3 6
 
15.0%
4 1
 
2.5%
5 1
 
2.5%
ValueCountFrequency (%)
5 1
 
2.5%
4 1
 
2.5%
3 6
 
15.0%
2 5
 
12.5%
1 24
60.0%

w1_E01_5
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Instagram

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean6.837837838
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:57.210020image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile23
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation22.35386309
Coefficient of variation (CV)3.269142033
Kurtosis15.70246456
Mean6.837837838
Median Absolute Deviation (MAD)0
Skewness4.101260792
Sum253
Variance499.6951952
MonotonicityNot monotonic
2025-02-26T17:43:57.248295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 24
60.0%
3 5
 
12.5%
2 4
 
10.0%
4 2
 
5.0%
99 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 24
60.0%
2 4
 
10.0%
3 5
 
12.5%
4 2
 
5.0%
99 2
 
5.0%
ValueCountFrequency (%)
99 2
 
5.0%
4 2
 
5.0%
3 5
 
12.5%
2 4
 
10.0%
1 24
60.0%

w1_E01_6
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Telegram

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean21.86486486
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:57.285537image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q35
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation37.79047658
Coefficient of variation (CV)1.728365431
Kurtosis0.7725106943
Mean21.86486486
Median Absolute Deviation (MAD)2
Skewness1.651467169
Sum809
Variance1428.12012
MonotonicityNot monotonic
2025-02-26T17:43:57.324312image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 14
35.0%
99 7
17.5%
3 7
17.5%
2 4
 
10.0%
4 4
 
10.0%
1 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 1
 
2.5%
2 4
 
10.0%
3 7
17.5%
4 4
 
10.0%
5 14
35.0%
ValueCountFrequency (%)
99 7
17.5%
5 14
35.0%
4 4
 
10.0%
3 7
17.5%
2 4
 
10.0%

w1_E01_7
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Pinterest

Distinct6
Distinct (%)16.7%
Missing4
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean22.41666667
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:57.362021image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q35
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)2

Descriptive statistics

Standard deviation38.17656349
Coefficient of variation (CV)1.703043725
Kurtosis0.6251785917
Mean22.41666667
Median Absolute Deviation (MAD)1.5
Skewness1.608480912
Sum807
Variance1457.45
MonotonicityNot monotonic
2025-02-26T17:43:57.401177image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 15
37.5%
99 7
17.5%
3 6
 
15.0%
2 4
 
10.0%
4 3
 
7.5%
1 1
 
2.5%
(Missing) 4
 
10.0%
ValueCountFrequency (%)
1 1
 
2.5%
2 4
 
10.0%
3 6
 
15.0%
4 3
 
7.5%
5 15
37.5%
ValueCountFrequency (%)
99 7
17.5%
5 15
37.5%
4 3
 
7.5%
3 6
 
15.0%
2 4
 
10.0%

w1_E01_8
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Reddit

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean40.18918919
Minimum2
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:57.438178image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median5
Q399
95-th percentile99
Maximum99
Range97
Interquartile range (IQR)94

Descriptive statistics

Standard deviation46.5228963
Coefficient of variation (CV)1.157597285
Kurtosis-1.828079083
Mean40.18918919
Median Absolute Deviation (MAD)2
Skewness0.5221005366
Sum1487
Variance2164.37988
MonotonicityNot monotonic
2025-02-26T17:43:57.474750image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 16
40.0%
99 14
35.0%
3 5
 
12.5%
2 1
 
2.5%
4 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
2 1
 
2.5%
3 5
 
12.5%
4 1
 
2.5%
5 16
40.0%
99 14
35.0%
ValueCountFrequency (%)
99 14
35.0%
5 16
40.0%
4 1
 
2.5%
3 5
 
12.5%
2 1
 
2.5%

w1_E01_9
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Flickr

Distinct3
Distinct (%)8.1%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean50.7027027
Minimum4
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:57.511017image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q15
median5
Q399
95-th percentile99
Maximum99
Range95
Interquartile range (IQR)94

Descriptive statistics

Standard deviation47.65784584
Coefficient of variation (CV)0.939946853
Kurtosis-2.114235729
Mean50.7027027
Median Absolute Deviation (MAD)1
Skewness0.0563494763
Sum1876
Variance2271.27027
MonotonicityNot monotonic
2025-02-26T17:43:57.548927image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5 18
45.0%
99 18
45.0%
4 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
4 1
 
2.5%
5 18
45.0%
99 18
45.0%
ValueCountFrequency (%)
99 18
45.0%
5 18
45.0%
4 1
 
2.5%

w1_E01_10
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook messenger

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.108108108
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:57.586348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.409960279
Coefficient of variation (CV)0.4536393941
Kurtosis-1.289825452
Mean3.108108108
Median Absolute Deviation (MAD)1
Skewness-0.07603589806
Sum115
Variance1.987987988
MonotonicityNot monotonic
2025-02-26T17:43:57.626223image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 8
20.0%
4 8
20.0%
2 8
20.0%
3 7
17.5%
1 6
15.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 6
15.0%
2 8
20.0%
3 7
17.5%
4 8
20.0%
5 8
20.0%
ValueCountFrequency (%)
5 8
20.0%
4 8
20.0%
3 7
17.5%
2 8
20.0%
1 6
15.0%

w1_E01_11
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WhatsApp

Distinct2
Distinct (%)5.4%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.027027027
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:57.666008image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1643989873
Coefficient of variation (CV)0.1600726982
Kurtosis37
Mean1.027027027
Median Absolute Deviation (MAD)0
Skewness6.08276253
Sum38
Variance0.02702702703
MonotonicityNot monotonic
2025-02-26T17:43:57.705282image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 36
90.0%
2 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 36
90.0%
2 1
 
2.5%
ValueCountFrequency (%)
2 1
 
2.5%
1 36
90.0%

w1_E01_12
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Google hangouts

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean29.54054054
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:57.742842image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q14
median5
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)95

Descriptive statistics

Standard deviation42.87099161
Coefficient of variation (CV)1.451259551
Kurtosis-0.8887831126
Mean29.54054054
Median Absolute Deviation (MAD)1
Skewness1.076140039
Sum1093
Variance1837.921922
MonotonicityNot monotonic
2025-02-26T17:43:57.781137image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 12
30.0%
99 10
25.0%
4 7
17.5%
2 5
12.5%
1 2
 
5.0%
3 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 2
 
5.0%
2 5
12.5%
3 1
 
2.5%
4 7
17.5%
5 12
30.0%
ValueCountFrequency (%)
99 10
25.0%
5 12
30.0%
4 7
17.5%
3 1
 
2.5%
2 5
12.5%

w1_E01_13
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Skype

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean27.2972973
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:57.817900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q14
median5
Q35
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation41.22624896
Coefficient of variation (CV)1.510268526
Kurtosis-0.4730188546
Mean27.2972973
Median Absolute Deviation (MAD)1
Skewness1.245575505
Sum1010
Variance1699.603604
MonotonicityNot monotonic
2025-02-26T17:43:57.855541image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 18
45.0%
99 9
22.5%
4 4
 
10.0%
3 3
 
7.5%
1 2
 
5.0%
2 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 2
 
5.0%
2 1
 
2.5%
3 3
 
7.5%
4 4
 
10.0%
5 18
45.0%
ValueCountFrequency (%)
99 9
22.5%
5 18
45.0%
4 4
 
10.0%
3 3
 
7.5%
2 1
 
2.5%

w1_E01_14
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Zoom

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean8.459459459
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:57.893090image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile23.8
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation21.98433103
Coefficient of variation (CV)2.598786735
Kurtosis15.62156834
Mean8.459459459
Median Absolute Deviation (MAD)1
Skewness4.086142891
Sum313
Variance483.3108108
MonotonicityNot monotonic
2025-02-26T17:43:57.931847image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 10
25.0%
5 8
20.0%
3 7
17.5%
1 6
15.0%
2 4
 
10.0%
99 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 6
15.0%
2 4
 
10.0%
3 7
17.5%
4 10
25.0%
5 8
20.0%
ValueCountFrequency (%)
99 2
 
5.0%
5 8
20.0%
4 10
25.0%
3 7
17.5%
2 4
 
10.0%

w1_E01_15
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Snapchat

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean45.2972973
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:57.970152image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q15
median5
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)94

Descriptive statistics

Standard deviation47.52944401
Coefficient of variation (CV)1.049277702
Kurtosis-2.031203253
Mean45.2972973
Median Absolute Deviation (MAD)2
Skewness0.283453216
Sum1676
Variance2259.048048
MonotonicityNot monotonic
2025-02-26T17:43:58.007091image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 16
40.0%
5 14
35.0%
4 4
 
10.0%
3 1
 
2.5%
2 1
 
2.5%
1 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 1
 
2.5%
2 1
 
2.5%
3 1
 
2.5%
4 4
 
10.0%
5 14
35.0%
ValueCountFrequency (%)
99 16
40.0%
5 14
35.0%
4 4
 
10.0%
3 1
 
2.5%
2 1
 
2.5%

w1_E01_16
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Tinder

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean45.43243243
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:58.043156image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.8
Q15
median5
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)94

Descriptive statistics

Standard deviation47.40812198
Coefficient of variation (CV)1.043486326
Kurtosis-2.031405268
Mean45.43243243
Median Absolute Deviation (MAD)1
Skewness0.283682349
Sum1681
Variance2247.53003
MonotonicityNot monotonic
2025-02-26T17:43:58.080803image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 17
42.5%
99 16
40.0%
4 2
 
5.0%
3 1
 
2.5%
1 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 1
 
2.5%
3 1
 
2.5%
4 2
 
5.0%
5 17
42.5%
99 16
40.0%
ValueCountFrequency (%)
99 16
40.0%
5 17
42.5%
4 2
 
5.0%
3 1
 
2.5%
1 1
 
2.5%

w1_E01_17
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WeChat

Distinct3
Distinct (%)8.1%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean58.2972973
Minimum3
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:58.116394image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q15
median99
Q399
95-th percentile99
Maximum99
Range96
Interquartile range (IQR)94

Descriptive statistics

Standard deviation47.27511964
Coefficient of variation (CV)0.810931584
Kurtosis-2.031796757
Mean58.2972973
Median Absolute Deviation (MAD)0
Skewness-0.2845848895
Sum2157
Variance2234.936937
MonotonicityNot monotonic
2025-02-26T17:43:58.153807image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
99 21
52.5%
5 15
37.5%
3 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
3 1
 
2.5%
5 15
37.5%
99 21
52.5%
ValueCountFrequency (%)
99 21
52.5%
5 15
37.5%
3 1
 
2.5%

w1_E01_18
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Viber

Distinct2
Distinct (%)5.4%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean58.35135135
Minimum5
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:58.187879image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q15
median99
Q399
95-th percentile99
Maximum99
Range94
Interquartile range (IQR)94

Descriptive statistics

Standard deviation47.21123702
Coefficient of variation (CV)0.8090855812
Kurtosis-2.032112845
Mean58.35135135
Median Absolute Deviation (MAD)0
Skewness-0.2844359156
Sum2159
Variance2228.900901
MonotonicityNot monotonic
2025-02-26T17:43:58.221615image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
99 21
52.5%
5 16
40.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
5 16
40.0%
99 21
52.5%
ValueCountFrequency (%)
99 21
52.5%
5 16
40.0%

w1_E01_19
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : TikTok

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean31.10810811
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:58.257167image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)98

Descriptive statistics

Standard deviation44.78701683
Coefficient of variation (CV)1.439721653
Kurtosis-1.214271364
Mean31.10810811
Median Absolute Deviation (MAD)2
Skewness0.9221597891
Sum1151
Variance2005.876877
MonotonicityNot monotonic
2025-02-26T17:43:58.294490image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
99 11
27.5%
1 11
27.5%
3 6
15.0%
5 5
12.5%
2 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 11
27.5%
2 4
 
10.0%
3 6
15.0%
5 5
12.5%
99 11
27.5%
ValueCountFrequency (%)
99 11
27.5%
5 5
12.5%
3 6
15.0%
2 4
 
10.0%
1 11
27.5%

w1_E01JLU_1
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Weibo(微博)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_2
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: LinkedIn

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_3
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Bilibili

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_4
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Acfun

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_5
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: lvzhou(绿洲)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_6
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Telegram

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_7
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Pinterest

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_8
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Huaban(花瓣)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_9
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Xiaohongshu(小红书)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_10
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Reddit

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_11
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tieba(贴吧)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_12
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Douban(豆瓣小组)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_13
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Skype

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_14
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Zoom

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_15
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tencent Meeting(腾讯会议)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_16
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: DingDing(钉钉)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_17
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tinder

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_18
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tantan(探探)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_19
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Momo(陌陌)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_20
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: WeChat(微信)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_21
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: QQ

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_22
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: TikTok(抖音)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_23
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Kuaishou(快手)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E01JLU_24
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Huoshan (火山小视频)

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_E02_1
Real number (ℝ)

Missing 

Do you use social networking sites to solve an academic problem? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.486486486
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:58.331215image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.095993249
Coefficient of variation (CV)0.4407798935
Kurtosis-0.7307041387
Mean2.486486486
Median Absolute Deviation (MAD)1
Skewness0.1032331698
Sum92
Variance1.201201201
MonotonicityNot monotonic
2025-02-26T17:43:58.438803image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 14
35.0%
1 9
22.5%
2 8
20.0%
4 5
 
12.5%
5 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 9
22.5%
2 8
20.0%
3 14
35.0%
4 5
 
12.5%
5 1
 
2.5%
ValueCountFrequency (%)
5 1
 
2.5%
4 5
 
12.5%
3 14
35.0%
2 8
20.0%
1 9
22.5%

w1_E02_2
Real number (ℝ)

Missing 

Do you use social networking sites to do research work? (1 “never” – 6 “very often”)

Distinct4
Distinct (%)10.8%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.405405405
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:58.477733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.956250184
Coefficient of variation (CV)0.3975422113
Kurtosis-0.9429000885
Mean2.405405405
Median Absolute Deviation (MAD)1
Skewness-0.1176010408
Sum89
Variance0.9144144144
MonotonicityNot monotonic
2025-02-26T17:43:58.515721image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 15
37.5%
2 10
25.0%
1 8
20.0%
4 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 8
20.0%
2 10
25.0%
3 15
37.5%
4 4
 
10.0%
ValueCountFrequency (%)
4 4
 
10.0%
3 15
37.5%
2 10
25.0%
1 8
20.0%

w1_E02_3
Real number (ℝ)

Missing 

Do you use social networking sites for online academic group discussion? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.783783784
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:58.553465image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4.2
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.133704232
Coefficient of variation (CV)0.4072529765
Kurtosis-0.693518314
Mean2.783783784
Median Absolute Deviation (MAD)1
Skewness-0.03250330301
Sum103
Variance1.285285285
MonotonicityNot monotonic
2025-02-26T17:43:58.594773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 13
32.5%
4 8
20.0%
2 8
20.0%
1 6
15.0%
5 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 6
15.0%
2 8
20.0%
3 13
32.5%
4 8
20.0%
5 2
 
5.0%
ValueCountFrequency (%)
5 2
 
5.0%
4 8
20.0%
3 13
32.5%
2 8
20.0%
1 6
15.0%

w1_E02_4
Real number (ℝ)

Missing 

Do you use social networking sites to prepare for an examination? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.513513514
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:58.634831image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.2
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.238763309
Coefficient of variation (CV)0.4928413163
Kurtosis-0.9782677717
Mean2.513513514
Median Absolute Deviation (MAD)1
Skewness0.2917363032
Sum93
Variance1.534534535
MonotonicityNot monotonic
2025-02-26T17:43:58.676020image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 10
25.0%
3 9
22.5%
2 9
22.5%
4 7
17.5%
5 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 10
25.0%
2 9
22.5%
3 9
22.5%
4 7
17.5%
5 2
 
5.0%
ValueCountFrequency (%)
5 2
 
5.0%
4 7
17.5%
3 9
22.5%
2 9
22.5%
1 10
25.0%

w1_E02_5
Real number (ℝ)

Missing 

Do you use social networking sites for collaborative learning? (1 “never” – 6 “very often”)

Distinct4
Distinct (%)10.8%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.945945946
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:58.714010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.025939839
Coefficient of variation (CV)0.2599984523
Kurtosis-0.8663656454
Mean3.945945946
Median Absolute Deviation (MAD)1
Skewness-0.5397785455
Sum146
Variance1.052552553
MonotonicityNot monotonic
2025-02-26T17:43:58.751459image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 14
35.0%
4 11
27.5%
3 8
20.0%
2 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
2 4
 
10.0%
3 8
20.0%
4 11
27.5%
5 14
35.0%
ValueCountFrequency (%)
5 14
35.0%
4 11
27.5%
3 8
20.0%
2 4
 
10.0%

w1_E02_6
Real number (ℝ)

Missing 

Do you use social networking sites to keep you up to date with the activities of your university? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.216216216
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:58.790218image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.204969689
Coefficient of variation (CV)0.3746544412
Kurtosis-1.024829551
Mean3.216216216
Median Absolute Deviation (MAD)1
Skewness0.06245371888
Sum119
Variance1.451951952
MonotonicityNot monotonic
2025-02-26T17:43:58.830155image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 10
25.0%
2 10
25.0%
4 8
20.0%
5 7
17.5%
1 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 2
 
5.0%
2 10
25.0%
3 10
25.0%
4 8
20.0%
5 7
17.5%
ValueCountFrequency (%)
5 7
17.5%
4 8
20.0%
3 10
25.0%
2 10
25.0%
1 2
 
5.0%

w1_E02_7
Real number (ℝ)

Missing 

Do you use social networking sites to seek help from your teachers? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.702702703
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:58.870292image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.17532182
Coefficient of variation (CV)0.3174226814
Kurtosis-0.1988578815
Mean3.702702703
Median Absolute Deviation (MAD)1
Skewness-0.7899250512
Sum137
Variance1.381381381
MonotonicityNot monotonic
2025-02-26T17:43:58.911509image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 15
37.5%
5 10
25.0%
3 5
 
12.5%
2 5
 
12.5%
1 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 2
 
5.0%
2 5
 
12.5%
3 5
 
12.5%
4 15
37.5%
5 10
25.0%
ValueCountFrequency (%)
5 10
25.0%
4 15
37.5%
3 5
 
12.5%
2 5
 
12.5%
1 2
 
5.0%

w1_E02_8
Real number (ℝ)

Missing 

Do you use social networking sites to become sociable? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.648648649
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:58.952663image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.183596596
Coefficient of variation (CV)0.4468681024
Kurtosis-0.5572856659
Mean2.648648649
Median Absolute Deviation (MAD)1
Skewness0.3145896738
Sum98
Variance1.400900901
MonotonicityNot monotonic
2025-02-26T17:43:58.993366image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 12
30.0%
2 10
25.0%
1 7
17.5%
4 5
12.5%
5 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 7
17.5%
2 10
25.0%
3 12
30.0%
4 5
12.5%
5 3
 
7.5%
ValueCountFrequency (%)
5 3
 
7.5%
4 5
12.5%
3 12
30.0%
2 10
25.0%
1 7
17.5%

w1_E02_9
Real number (ℝ)

Missing 

Do you use social networking sites to create your social identity? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.486486486
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:59.033204image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.346221495
Coefficient of variation (CV)0.3861255449
Kurtosis-1.141287883
Mean3.486486486
Median Absolute Deviation (MAD)1
Skewness-0.3307477974
Sum129
Variance1.812312312
MonotonicityNot monotonic
2025-02-26T17:43:59.074743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 12
30.0%
3 8
20.0%
2 7
17.5%
4 7
17.5%
1 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 3
 
7.5%
2 7
17.5%
3 8
20.0%
4 7
17.5%
5 12
30.0%
ValueCountFrequency (%)
5 12
30.0%
4 7
17.5%
3 8
20.0%
2 7
17.5%
1 3
 
7.5%

w1_E02_10
Real number (ℝ)

Missing 

Do you use social networking sites to attend social gatherings? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.135135135
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:59.114543image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.475017178
Coefficient of variation (CV)0.4704796172
Kurtosis-1.43719725
Mean3.135135135
Median Absolute Deviation (MAD)1
Skewness-0.0260274993
Sum116
Variance2.175675676
MonotonicityNot monotonic
2025-02-26T17:43:59.155997image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 10
25.0%
2 9
22.5%
3 6
15.0%
4 6
15.0%
1 6
15.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 6
15.0%
2 9
22.5%
3 6
15.0%
4 6
15.0%
5 10
25.0%
ValueCountFrequency (%)
5 10
25.0%
4 6
15.0%
3 6
15.0%
2 9
22.5%
1 6
15.0%

w1_E02_11
Real number (ℝ)

Missing 

Do you use social networking sites to keep in touch with my friends? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.432432432
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:59.195810image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.463263866
Coefficient of variation (CV)0.4263052208
Kurtosis-1.104949966
Mean3.432432432
Median Absolute Deviation (MAD)2
Skewness-0.4216673653
Sum127
Variance2.141141141
MonotonicityNot monotonic
2025-02-26T17:43:59.237040image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 13
32.5%
3 10
25.0%
1 6
15.0%
4 5
 
12.5%
2 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 6
15.0%
2 3
 
7.5%
3 10
25.0%
4 5
 
12.5%
5 13
32.5%
ValueCountFrequency (%)
5 13
32.5%
4 5
 
12.5%
3 10
25.0%
2 3
 
7.5%
1 6
15.0%

w1_E02_12
Real number (ℝ)

Missing 

Do you use social networking sites to keep in touch with my relatives? (1 “never” – 6 “very often”)

Distinct3
Distinct (%)8.1%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean4.567567568
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:59.276394image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.8
Q14
median5
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6027962868
Coefficient of variation (CV)0.1319731515
Kurtosis0.2440717015
Mean4.567567568
Median Absolute Deviation (MAD)0
Skewness-1.077622393
Sum169
Variance0.3633633634
MonotonicityNot monotonic
2025-02-26T17:43:59.315492image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5 23
57.5%
4 12
30.0%
3 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
3 2
 
5.0%
4 12
30.0%
5 23
57.5%
ValueCountFrequency (%)
5 23
57.5%
4 12
30.0%
3 2
 
5.0%

w1_E02_13
Real number (ℝ)

Missing 

Do you use social networking sites to get information regarding current social events? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean4.135135135
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:59.355209image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.058357274
Coefficient of variation (CV)0.2559426088
Kurtosis2.695303911
Mean4.135135135
Median Absolute Deviation (MAD)1
Skewness-1.620955078
Sum153
Variance1.12012012
MonotonicityNot monotonic
2025-02-26T17:43:59.395969image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 16
40.0%
4 15
37.5%
3 3
 
7.5%
1 2
 
5.0%
2 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 2
 
5.0%
2 1
 
2.5%
3 3
 
7.5%
4 15
37.5%
5 16
40.0%
ValueCountFrequency (%)
5 16
40.0%
4 15
37.5%
3 3
 
7.5%
2 1
 
2.5%
1 2
 
5.0%

w1_E02_14
Real number (ℝ)

Missing 

Do you use social networking sites for sharing pictures? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.918918919
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:59.437049image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.115008181
Coefficient of variation (CV)0.2845193289
Kurtosis0.8592640837
Mean3.918918919
Median Absolute Deviation (MAD)1
Skewness-1.103520856
Sum145
Variance1.243243243
MonotonicityNot monotonic
2025-02-26T17:43:59.478226image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 14
35.0%
5 13
32.5%
3 6
15.0%
2 2
 
5.0%
1 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 2
 
5.0%
2 2
 
5.0%
3 6
15.0%
4 14
35.0%
5 13
32.5%
ValueCountFrequency (%)
5 13
32.5%
4 14
35.0%
3 6
15.0%
2 2
 
5.0%
1 2
 
5.0%

w1_E02_15
Real number (ℝ)

Missing 

Do you use social networking sites to look at funny stories? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.648648649
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:59.518253image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.337830254
Coefficient of variation (CV)0.3666645883
Kurtosis-1.164584096
Mean3.648648649
Median Absolute Deviation (MAD)1
Skewness-0.484177183
Sum135
Variance1.78978979
MonotonicityNot monotonic
2025-02-26T17:43:59.560288image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 14
35.0%
2 8
20.0%
4 8
20.0%
3 5
 
12.5%
1 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 2
 
5.0%
2 8
20.0%
3 5
 
12.5%
4 8
20.0%
5 14
35.0%
ValueCountFrequency (%)
5 14
35.0%
4 8
20.0%
3 5
 
12.5%
2 8
20.0%
1 2
 
5.0%

w1_E02_16
Real number (ℝ)

Missing 

Do you use social networking sites for watching movies? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.918918919
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:59.600273image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.255618006
Coefficient of variation (CV)0.3203990774
Kurtosis-0.1382301218
Mean3.918918919
Median Absolute Deviation (MAD)1
Skewness-0.9964684065
Sum145
Variance1.576576577
MonotonicityNot monotonic
2025-02-26T17:43:59.642020image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 16
40.0%
4 11
27.5%
2 5
 
12.5%
3 3
 
7.5%
1 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 2
 
5.0%
2 5
 
12.5%
3 3
 
7.5%
4 11
27.5%
5 16
40.0%
ValueCountFrequency (%)
5 16
40.0%
4 11
27.5%
3 3
 
7.5%
2 5
 
12.5%
1 2
 
5.0%

w1_E02_17
Real number (ℝ)

Missing 

Do you use social networking sites to get relief from academic stress? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.864864865
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:59.682449image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.417395149
Coefficient of variation (CV)0.494751137
Kurtosis-1.317511771
Mean2.864864865
Median Absolute Deviation (MAD)1
Skewness0.127996886
Sum106
Variance2.009009009
MonotonicityNot monotonic
2025-02-26T17:43:59.722783image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 9
22.5%
1 8
20.0%
4 8
20.0%
5 6
15.0%
3 6
15.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 8
20.0%
2 9
22.5%
3 6
15.0%
4 8
20.0%
5 6
15.0%
ValueCountFrequency (%)
5 6
15.0%
4 8
20.0%
3 6
15.0%
2 9
22.5%
1 8
20.0%

w1_E02_18
Real number (ℝ)

Missing 

Do you use social networking sites for reading news? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.72972973
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:59.761664image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.283412306
Coefficient of variation (CV)0.3441032994
Kurtosis0.03536450173
Mean3.72972973
Median Absolute Deviation (MAD)1
Skewness-0.9611252626
Sum138
Variance1.647147147
MonotonicityNot monotonic
2025-02-26T17:43:59.802689image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 13
32.5%
5 12
30.0%
3 6
15.0%
1 4
 
10.0%
2 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 4
 
10.0%
2 2
 
5.0%
3 6
15.0%
4 13
32.5%
5 12
30.0%
ValueCountFrequency (%)
5 12
30.0%
4 13
32.5%
3 6
15.0%
2 2
 
5.0%
1 4
 
10.0%

w1_E02_19
Real number (ℝ)

Missing 

Do you use social networking sites to share new ideas? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.621621622
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:59.842370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.08912175
Coefficient of variation (CV)0.3007276474
Kurtosis-0.5605677931
Mean3.621621622
Median Absolute Deviation (MAD)1
Skewness-0.3982836494
Sum134
Variance1.186186186
MonotonicityNot monotonic
2025-02-26T17:43:59.882902image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 12
30.0%
3 10
25.0%
5 9
22.5%
2 5
12.5%
1 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 1
 
2.5%
2 5
12.5%
3 10
25.0%
4 12
30.0%
5 9
22.5%
ValueCountFrequency (%)
5 9
22.5%
4 12
30.0%
3 10
25.0%
2 5
12.5%
1 1
 
2.5%

w1_E02_20
Real number (ℝ)

Missing 

Do you use social networking sites for getting jobs related information? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.27027027
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:43:59.923249image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.170200568
Coefficient of variation (CV)0.3578299258
Kurtosis-0.7046425807
Mean3.27027027
Median Absolute Deviation (MAD)1
Skewness-0.3427052127
Sum121
Variance1.369369369
MonotonicityNot monotonic
2025-02-26T17:43:59.963722image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 13
32.5%
3 9
22.5%
2 7
17.5%
5 5
 
12.5%
1 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 3
 
7.5%
2 7
17.5%
3 9
22.5%
4 13
32.5%
5 5
 
12.5%
ValueCountFrequency (%)
5 5
 
12.5%
4 13
32.5%
3 9
22.5%
2 7
17.5%
1 3
 
7.5%

w1_E02_21
Real number (ℝ)

Missing 

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.162162162
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:00.004192image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.190553408
Coefficient of variation (CV)0.3764997957
Kurtosis-0.9074867785
Mean3.162162162
Median Absolute Deviation (MAD)1
Skewness-0.1214921197
Sum117
Variance1.417417417
MonotonicityNot monotonic
2025-02-26T17:44:00.044653image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 11
27.5%
3 9
22.5%
2 9
22.5%
5 5
12.5%
1 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 3
 
7.5%
2 9
22.5%
3 9
22.5%
4 11
27.5%
5 5
12.5%
ValueCountFrequency (%)
5 5
12.5%
4 11
27.5%
3 9
22.5%
2 9
22.5%
1 3
 
7.5%

w1_E03
Real number (ℝ)

Missing 

You know what a chatbot is? 1. Yes, 2. No [go to F01]

Distinct2
Distinct (%)5.3%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean1.263157895
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:00.084338image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.75
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.44625835
Coefficient of variation (CV)0.3532878604
Kurtosis-0.7890816327
Mean1.263157895
Median Absolute Deviation (MAD)0
Skewness1.120427214
Sum48
Variance0.1991465149
MonotonicityNot monotonic
2025-02-26T17:44:00.122319image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 28
70.0%
2 10
 
25.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 28
70.0%
2 10
 
25.0%
ValueCountFrequency (%)
2 10
 
25.0%
1 28
70.0%

w1_E04
Real number (ℝ)

Missing 

Currently, do you use some chatbot? 1. Yes [go to E06], 2. No

Distinct2
Distinct (%)7.1%
Missing12
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean1.928571429
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:00.158441image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.35
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2622652642
Coefficient of variation (CV)0.1359893962
Kurtosis11.18343195
Mean1.928571429
Median Absolute Deviation (MAD)0
Skewness-3.519630882
Sum54
Variance0.06878306878
MonotonicityNot monotonic
2025-02-26T17:44:00.196991image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 26
65.0%
1 2
 
5.0%
(Missing) 12
30.0%
ValueCountFrequency (%)
1 2
 
5.0%
2 26
65.0%
ValueCountFrequency (%)
2 26
65.0%
1 2
 
5.0%

w1_E05
Real number (ℝ)

Missing 

In the past, have you tried to talk/converse with a chatbot? 1. Yes [go to F01], 2. No [go to F01]

Distinct2
Distinct (%)7.7%
Missing14
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean1.153846154
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:00.233285image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3679464844
Coefficient of variation (CV)0.3188869531
Kurtosis2.328310277
Mean1.153846154
Median Absolute Deviation (MAD)0
Skewness2.038339899
Sum30
Variance0.1353846154
MonotonicityNot monotonic
2025-02-26T17:44:00.269947image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 22
55.0%
2 4
 
10.0%
(Missing) 14
35.0%
ValueCountFrequency (%)
1 22
55.0%
2 4
 
10.0%
ValueCountFrequency (%)
2 4
 
10.0%
1 22
55.0%

w1_E06
Real number (ℝ)

Constant  Missing 

How many chatbot apps have you installed on your smartphone? N.|__|

Distinct1
Distinct (%)50.0%
Missing38
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:00.305614image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis
Mean1
Median Absolute Deviation (MAD)0
Skewness
Sum2
Variance0
MonotonicityIncreasing
2025-02-26T17:44:00.339668image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 2
 
5.0%
(Missing) 38
95.0%
ValueCountFrequency (%)
1 2
5.0%
ValueCountFrequency (%)
1 2
5.0%

w1_E07
Text

Missing 

Can you tell us which chatbot(s) you have installed on your smartphone? App Name(s) (________)

Distinct2
Distinct (%)100.0%
Missing38
Missing (%)95.0%
Memory size484.0 B
2025-02-26T17:44:00.395091image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length20
Median length13.5
Mean length13.5
Min length7

Characters and Unicode

Total characters27
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowChatbots de Telegram
2nd rowReplika
ValueCountFrequency (%)
chatbots 1
25.0%
de 1
25.0%
telegram 1
25.0%
replika 1
25.0%
2025-02-26T17:44:00.503227image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 4
14.8%
a 3
 
11.1%
t 2
 
7.4%
2
 
7.4%
l 2
 
7.4%
C 1
 
3.7%
h 1
 
3.7%
b 1
 
3.7%
o 1
 
3.7%
s 1
 
3.7%
Other values (9) 9
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 27
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 4
14.8%
a 3
 
11.1%
t 2
 
7.4%
2
 
7.4%
l 2
 
7.4%
C 1
 
3.7%
h 1
 
3.7%
b 1
 
3.7%
o 1
 
3.7%
s 1
 
3.7%
Other values (9) 9
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 27
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 4
14.8%
a 3
 
11.1%
t 2
 
7.4%
2
 
7.4%
l 2
 
7.4%
C 1
 
3.7%
h 1
 
3.7%
b 1
 
3.7%
o 1
 
3.7%
s 1
 
3.7%
Other values (9) 9
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 27
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 4
14.8%
a 3
 
11.1%
t 2
 
7.4%
2
 
7.4%
l 2
 
7.4%
C 1
 
3.7%
h 1
 
3.7%
b 1
 
3.7%
o 1
 
3.7%
s 1
 
3.7%
Other values (9) 9
33.3%

w1_E08
Real number (ℝ)

Missing 

How often do use the chatbot? (1) Rarely/Never; (2) Every few weeks; (3) A few times a week; (4) About once a day; (5) Several times a day

Distinct2
Distinct (%)100.0%
Missing38
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum2
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:00.545653image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.05
Q12.25
median2.5
Q32.75
95-th percentile2.95
Maximum3
Range1
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.7071067812
Coefficient of variation (CV)0.2828427125
Kurtosis
Mean2.5
Median Absolute Deviation (MAD)0.5
Skewness
Sum5
Variance0.5
MonotonicityStrictly decreasing
2025-02-26T17:44:00.584133image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
3 1
 
2.5%
2 1
 
2.5%
(Missing) 38
95.0%
ValueCountFrequency (%)
2 1
2.5%
3 1
2.5%
ValueCountFrequency (%)
3 1
2.5%
2 1
2.5%

w1_E09_1
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot shows you ads (advertisements) based on your online activity? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct2
Distinct (%)100.0%
Missing38
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum2
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:00.620683image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.05
Q12.25
median2.5
Q32.75
95-th percentile2.95
Maximum3
Range1
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.7071067812
Coefficient of variation (CV)0.2828427125
Kurtosis
Mean2.5
Median Absolute Deviation (MAD)0.5
Skewness
Sum5
Variance0.5
MonotonicityStrictly increasing
2025-02-26T17:44:00.727137image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1
 
2.5%
3 1
 
2.5%
(Missing) 38
95.0%
ValueCountFrequency (%)
2 1
2.5%
3 1
2.5%
ValueCountFrequency (%)
3 1
2.5%
2 1
2.5%

w1_E09_2
Real number (ℝ)

Constant  Missing 

How much do you agree with the following statement: if the chatbot knew who you were, without logging in? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct1
Distinct (%)50.0%
Missing38
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:00.762741image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis
Mean2
Median Absolute Deviation (MAD)0
Skewness
Sum4
Variance0
MonotonicityIncreasing
2025-02-26T17:44:00.796685image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 2
 
5.0%
(Missing) 38
95.0%
ValueCountFrequency (%)
2 2
5.0%
ValueCountFrequency (%)
2 2
5.0%

w1_E09_3
Real number (ℝ)

Constant  Missing 

How much do you agree with the following statement: if the chatbot analysed you, even when using other apps (applications)? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct1
Distinct (%)50.0%
Missing38
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:00.831023image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis
Mean2
Median Absolute Deviation (MAD)0
Skewness
Sum4
Variance0
MonotonicityIncreasing
2025-02-26T17:44:00.864809image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 2
 
5.0%
(Missing) 38
95.0%
ValueCountFrequency (%)
2 2
5.0%
ValueCountFrequency (%)
2 2
5.0%

w1_E09_4
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your age? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct2
Distinct (%)100.0%
Missing38
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:00.897197image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.15
Q11.75
median2.5
Q33.25
95-th percentile3.85
Maximum4
Range3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation2.121320344
Coefficient of variation (CV)0.8485281374
Kurtosis
Mean2.5
Median Absolute Deviation (MAD)1.5
Skewness
Sum5
Variance4.5
MonotonicityStrictly increasing
2025-02-26T17:44:00.933440image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1
 
2.5%
4 1
 
2.5%
(Missing) 38
95.0%
ValueCountFrequency (%)
1 1
2.5%
4 1
2.5%
ValueCountFrequency (%)
4 1
2.5%
1 1
2.5%

w1_E09_5
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your gender? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct2
Distinct (%)100.0%
Missing38
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:00.970010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.1
Q11.5
median2
Q32.5
95-th percentile2.9
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.414213562
Coefficient of variation (CV)0.7071067812
Kurtosis
Mean2
Median Absolute Deviation (MAD)1
Skewness
Sum4
Variance2
MonotonicityStrictly increasing
2025-02-26T17:44:01.010199image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1
 
2.5%
3 1
 
2.5%
(Missing) 38
95.0%
ValueCountFrequency (%)
1 1
2.5%
3 1
2.5%
ValueCountFrequency (%)
3 1
2.5%
1 1
2.5%

w1_E09_6
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your religious/political views? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct2
Distinct (%)100.0%
Missing38
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:01.047770image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.15
Q11.75
median2.5
Q33.25
95-th percentile3.85
Maximum4
Range3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation2.121320344
Coefficient of variation (CV)0.8485281374
Kurtosis
Mean2.5
Median Absolute Deviation (MAD)1.5
Skewness
Sum5
Variance4.5
MonotonicityStrictly increasing
2025-02-26T17:44:01.083552image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1
 
2.5%
4 1
 
2.5%
(Missing) 38
95.0%
ValueCountFrequency (%)
1 1
2.5%
4 1
2.5%
ValueCountFrequency (%)
4 1
2.5%
1 1
2.5%

w1_E09_7
Real number (ℝ)

Constant  Missing 

How much do you agree with the following statement: if individuals or groups perform threatening acts to other users, through the chatbot? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct1
Distinct (%)50.0%
Missing38
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:01.120763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis
Mean1
Median Absolute Deviation (MAD)0
Skewness
Sum2
Variance0
MonotonicityIncreasing
2025-02-26T17:44:01.154971image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 2
 
5.0%
(Missing) 38
95.0%
ValueCountFrequency (%)
1 2
5.0%
ValueCountFrequency (%)
1 2
5.0%

w1_F01
Real number (ℝ)

Missing 

Are you a part of, or are you a member of, any student association or group and/or other nonstudents associations? (e.g. religious, political, sports, etc.) 1) Only student ass. [go to F02], 2)Only nonstudent ass. [go to F04], 3) Both, 4) No [go to G01]

Distinct4
Distinct (%)10.5%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean3.342105263
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:01.188364image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.85
Q13
median4
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9663616857
Coefficient of variation (CV)0.289147591
Kurtosis-0.0715906255
Mean3.342105263
Median Absolute Deviation (MAD)0
Skewness-1.137528307
Sum127
Variance0.9338549075
MonotonicityNot monotonic
2025-02-26T17:44:01.225619image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 24
60.0%
2 7
 
17.5%
3 5
 
12.5%
1 2
 
5.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 2
 
5.0%
2 7
 
17.5%
3 5
 
12.5%
4 24
60.0%
ValueCountFrequency (%)
4 24
60.0%
3 5
 
12.5%
2 7
 
17.5%
1 2
 
5.0%

w1_F02
Real number (ℝ)

Missing  Zeros 

Distinct5
Distinct (%)35.7%
Missing26
Missing (%)65.0%
Infinite0
Infinite (%)0.0%
Mean1.714285714
Minimum0
Maximum4
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:01.262378image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.65
Q11
median1
Q32.75
95-th percentile3.35
Maximum4
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.138728807
Coefficient of variation (CV)0.664258471
Kurtosis-0.4955080828
Mean1.714285714
Median Absolute Deviation (MAD)0.5
Skewness0.6549080932
Sum24
Variance1.296703297
MonotonicityNot monotonic
2025-02-26T17:44:01.303800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 7
 
17.5%
3 3
 
7.5%
2 2
 
5.0%
0 1
 
2.5%
4 1
 
2.5%
(Missing) 26
65.0%
ValueCountFrequency (%)
0 1
 
2.5%
1 7
17.5%
2 2
 
5.0%
3 3
7.5%
4 1
 
2.5%
ValueCountFrequency (%)
4 1
 
2.5%
3 3
7.5%
2 2
 
5.0%
1 7
17.5%
0 1
 
2.5%

w1_F03_1
Boolean

Constant  Missing 

Please mark the categories of interest of the society(ies) you belong to: Faith

Distinct1
Distinct (%)14.3%
Missing33
Missing (%)82.5%
Memory size212.0 B
False
(Missing)
33 
ValueCountFrequency (%)
False 7
 
17.5%
(Missing) 33
82.5%
2025-02-26T17:44:01.342799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_2
Boolean

Constant  Missing 

Please mark the categories of interest of the society(ies) you belong to: Arts and Performance

Distinct1
Distinct (%)14.3%
Missing33
Missing (%)82.5%
Memory size212.0 B
False
(Missing)
33 
ValueCountFrequency (%)
False 7
 
17.5%
(Missing) 33
82.5%
2025-02-26T17:44:01.373399image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_3
Boolean

Constant  Missing 

Please mark the categories of interest of the society(ies) you belong to: Activity and specialist (e.g., music, alt music, wine, dance, video makers)

Distinct1
Distinct (%)14.3%
Missing33
Missing (%)82.5%
Memory size212.0 B
False
(Missing)
33 
ValueCountFrequency (%)
False 7
 
17.5%
(Missing) 33
82.5%
2025-02-26T17:44:01.403272image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_4
Boolean

Missing 

Please mark the categories of interest of the society(ies) you belong to: Cultural and National

Distinct2
Distinct (%)28.6%
Missing33
Missing (%)82.5%
Memory size212.0 B
False
True
 
1
(Missing)
33 
ValueCountFrequency (%)
False 6
 
15.0%
True 1
 
2.5%
(Missing) 33
82.5%
2025-02-26T17:44:01.436986image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_5
Boolean

Missing 

Please mark the categories of interest of the society(ies) you belong to: Careers

Distinct2
Distinct (%)28.6%
Missing33
Missing (%)82.5%
Memory size212.0 B
False
True
 
1
(Missing)
33 
ValueCountFrequency (%)
False 6
 
15.0%
True 1
 
2.5%
(Missing) 33
82.5%
2025-02-26T17:44:01.471450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_6
Boolean

Missing 

Please mark the categories of interest of the society(ies) you belong to: Volunteering and Charity

Distinct2
Distinct (%)28.6%
Missing33
Missing (%)82.5%
Memory size212.0 B
False
True
 
1
(Missing)
33 
ValueCountFrequency (%)
False 6
 
15.0%
True 1
 
2.5%
(Missing) 33
82.5%
2025-02-26T17:44:01.504902image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_7
Boolean

Missing 

Please mark the categories of interest of the society(ies) you belong to: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)

Distinct2
Distinct (%)28.6%
Missing33
Missing (%)82.5%
Memory size212.0 B
False
True
 
2
(Missing)
33 
ValueCountFrequency (%)
False 5
 
12.5%
True 2
 
5.0%
(Missing) 33
82.5%
2025-02-26T17:44:01.539261image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_8
Boolean

Missing 

Please mark the categories of interest of the society(ies) you belong to: Media

Distinct2
Distinct (%)28.6%
Missing33
Missing (%)82.5%
Memory size212.0 B
False
True
 
1
(Missing)
33 
ValueCountFrequency (%)
False 6
 
15.0%
True 1
 
2.5%
(Missing) 33
82.5%
2025-02-26T17:44:01.572832image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_9
Boolean

Missing 

Please mark the categories of interest of the society(ies) you belong to: Sport

Distinct2
Distinct (%)28.6%
Missing33
Missing (%)82.5%
Memory size212.0 B
False
True
 
3
(Missing)
33 
ValueCountFrequency (%)
False 4
 
10.0%
True 3
 
7.5%
(Missing) 33
82.5%
2025-02-26T17:44:01.606343image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_10
Boolean

Missing 

Please mark the categories of interest of the society(ies) you belong to: Recreational

Distinct2
Distinct (%)28.6%
Missing33
Missing (%)82.5%
Memory size212.0 B
False
True
 
1
(Missing)
33 
ValueCountFrequency (%)
False 6
 
15.0%
True 1
 
2.5%
(Missing) 33
82.5%
2025-02-26T17:44:01.640599image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_other
Text

Missing 

Please mark the categories of interest of the society(ies) you belong to: Other, specify: ________

Distinct2
Distinct (%)100.0%
Missing38
Missing (%)95.0%
Memory size498.0 B
2025-02-26T17:44:01.703873image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length30
Median length20.5
Mean length20.5
Min length11

Characters and Unicode

Total characters41
Distinct characters21
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowHumanidades
2nd rowEquipo de Formula SAE Electric
ValueCountFrequency (%)
humanidades 1
16.7%
equipo 1
16.7%
de 1
16.7%
formula 1
16.7%
sae 1
16.7%
electric 1
16.7%
2025-02-26T17:44:01.820381image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
 
9.8%
u 3
 
7.3%
a 3
 
7.3%
i 3
 
7.3%
d 3
 
7.3%
e 3
 
7.3%
E 3
 
7.3%
m 2
 
4.9%
o 2
 
4.9%
r 2
 
4.9%
Other values (11) 13
31.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 41
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4
 
9.8%
u 3
 
7.3%
a 3
 
7.3%
i 3
 
7.3%
d 3
 
7.3%
e 3
 
7.3%
E 3
 
7.3%
m 2
 
4.9%
o 2
 
4.9%
r 2
 
4.9%
Other values (11) 13
31.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 41
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4
 
9.8%
u 3
 
7.3%
a 3
 
7.3%
i 3
 
7.3%
d 3
 
7.3%
e 3
 
7.3%
E 3
 
7.3%
m 2
 
4.9%
o 2
 
4.9%
r 2
 
4.9%
Other values (11) 13
31.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 41
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4
 
9.8%
u 3
 
7.3%
a 3
 
7.3%
i 3
 
7.3%
d 3
 
7.3%
e 3
 
7.3%
E 3
 
7.3%
m 2
 
4.9%
o 2
 
4.9%
r 2
 
4.9%
Other values (11) 13
31.7%

w1_F04_1
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Faith

Distinct2
Distinct (%)16.7%
Missing28
Missing (%)70.0%
Memory size212.0 B
False
11 
True
 
1
(Missing)
28 
ValueCountFrequency (%)
False 11
 
27.5%
True 1
 
2.5%
(Missing) 28
70.0%
2025-02-26T17:44:01.862024image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_2
Boolean

Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Arts and Performance

Distinct2
Distinct (%)16.7%
Missing28
Missing (%)70.0%
Memory size212.0 B
False
10 
True
 
2
(Missing)
28 
ValueCountFrequency (%)
False 10
 
25.0%
True 2
 
5.0%
(Missing) 28
70.0%
2025-02-26T17:44:01.894848image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_3
Boolean

Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Activity and specialist (e.g., music, alt music, wine, dance, video makers)

Distinct2
Distinct (%)16.7%
Missing28
Missing (%)70.0%
Memory size212.0 B
False
10 
True
 
2
(Missing)
28 
ValueCountFrequency (%)
False 10
 
25.0%
True 2
 
5.0%
(Missing) 28
70.0%
2025-02-26T17:44:01.926983image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_4
Boolean

Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Cultural and National

Distinct2
Distinct (%)16.7%
Missing28
Missing (%)70.0%
Memory size212.0 B
False
True
(Missing)
28 
ValueCountFrequency (%)
False 9
 
22.5%
True 3
 
7.5%
(Missing) 28
70.0%
2025-02-26T17:44:01.962039image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_5
Boolean

Constant  Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Careers

Distinct1
Distinct (%)8.3%
Missing28
Missing (%)70.0%
Memory size212.0 B
False
12 
(Missing)
28 
ValueCountFrequency (%)
False 12
30.0%
(Missing) 28
70.0%
2025-02-26T17:44:01.994776image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_6
Boolean

Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Volunteering and Charity

Distinct2
Distinct (%)16.7%
Missing28
Missing (%)70.0%
Memory size212.0 B
False
True
(Missing)
28 
ValueCountFrequency (%)
False 6
 
15.0%
True 6
 
15.0%
(Missing) 28
70.0%
2025-02-26T17:44:02.024791image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_7
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)

Distinct2
Distinct (%)16.7%
Missing28
Missing (%)70.0%
Memory size212.0 B
False
11 
True
 
1
(Missing)
28 
ValueCountFrequency (%)
False 11
 
27.5%
True 1
 
2.5%
(Missing) 28
70.0%
2025-02-26T17:44:02.056640image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_8
Boolean

Imbalance  Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Media

Distinct2
Distinct (%)16.7%
Missing28
Missing (%)70.0%
Memory size212.0 B
False
11 
True
 
1
(Missing)
28 
ValueCountFrequency (%)
False 11
 
27.5%
True 1
 
2.5%
(Missing) 28
70.0%
2025-02-26T17:44:02.089523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_9
Boolean

Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Sport

Distinct2
Distinct (%)16.7%
Missing28
Missing (%)70.0%
Memory size212.0 B
True
False
(Missing)
28 
ValueCountFrequency (%)
True 8
 
20.0%
False 4
 
10.0%
(Missing) 28
70.0%
2025-02-26T17:44:02.121910image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_10
Boolean

Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Recreational

Distinct2
Distinct (%)16.7%
Missing28
Missing (%)70.0%
Memory size212.0 B
False
True
(Missing)
28 
ValueCountFrequency (%)
False 7
 
17.5%
True 5
 
12.5%
(Missing) 28
70.0%
2025-02-26T17:44:02.154677image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_other
Text

Constant  Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Other, specify

Distinct1
Distinct (%)100.0%
Missing39
Missing (%)97.5%
Memory size486.0 B
2025-02-26T17:44:02.210180image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length29
Median length29
Mean length29
Min length29

Characters and Unicode

Total characters29
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowAprender nuevos conocimientos
ValueCountFrequency (%)
aprender 1
33.3%
nuevos 1
33.3%
conocimientos 1
33.3%
2025-02-26T17:44:02.314652image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 4
13.8%
n 4
13.8%
o 4
13.8%
r 2
 
6.9%
2
 
6.9%
s 2
 
6.9%
c 2
 
6.9%
i 2
 
6.9%
A 1
 
3.4%
p 1
 
3.4%
Other values (5) 5
17.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 4
13.8%
n 4
13.8%
o 4
13.8%
r 2
 
6.9%
2
 
6.9%
s 2
 
6.9%
c 2
 
6.9%
i 2
 
6.9%
A 1
 
3.4%
p 1
 
3.4%
Other values (5) 5
17.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 4
13.8%
n 4
13.8%
o 4
13.8%
r 2
 
6.9%
2
 
6.9%
s 2
 
6.9%
c 2
 
6.9%
i 2
 
6.9%
A 1
 
3.4%
p 1
 
3.4%
Other values (5) 5
17.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 4
13.8%
n 4
13.8%
o 4
13.8%
r 2
 
6.9%
2
 
6.9%
s 2
 
6.9%
c 2
 
6.9%
i 2
 
6.9%
A 1
 
3.4%
p 1
 
3.4%
Other values (5) 5
17.2%

w1_G01_1
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Acted in a theatre play (1) YES (2) NO

Distinct2
Distinct (%)5.4%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.810810811
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:02.356747image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.397061277
Coefficient of variation (CV)0.2192726455
Kurtosis0.7781992797
Mean1.810810811
Median Absolute Deviation (MAD)0
Skewness-1.655016229
Sum67
Variance0.1576576577
MonotonicityNot monotonic
2025-02-26T17:44:02.394808image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 30
75.0%
1 7
 
17.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 7
 
17.5%
2 30
75.0%
ValueCountFrequency (%)
2 30
75.0%
1 7
 
17.5%

w1_G01_2
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Directed a theatre play (1) YES (2) NO

Distinct2
Distinct (%)5.4%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.945945946
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:02.432627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2292434351
Coefficient of variation (CV)0.1178056542
Kurtosis15.76653061
Mean1.945945946
Median Absolute Deviation (MAD)0
Skewness-4.112907933
Sum72
Variance0.05255255255
MonotonicityNot monotonic
2025-02-26T17:44:02.471478image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 35
87.5%
1 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 2
 
5.0%
2 35
87.5%
ValueCountFrequency (%)
2 35
87.5%
1 2
 
5.0%

w1_G01_3
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Performed as a stand-up comedian (1) YES (2) NO

Distinct2
Distinct (%)5.4%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.972972973
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:02.509291image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1643989873
Coefficient of variation (CV)0.08332551411
Kurtosis37
Mean1.972972973
Median Absolute Deviation (MAD)0
Skewness-6.08276253
Sum73
Variance0.02702702703
MonotonicityNot monotonic
2025-02-26T17:44:02.547604image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 36
90.0%
1 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 1
 
2.5%
2 36
90.0%
ValueCountFrequency (%)
2 36
90.0%
1 1
 
2.5%

w1_G01_4
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped (1) YES (2) NO

Distinct2
Distinct (%)5.4%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.702702703
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:02.584435image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4633731916
Coefficient of variation (CV)0.272139811
Kurtosis-1.213257331
Mean1.702702703
Median Absolute Deviation (MAD)0
Skewness-0.9248947421
Sum63
Variance0.2147147147
MonotonicityNot monotonic
2025-02-26T17:44:02.622334image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 26
65.0%
1 11
27.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 11
27.5%
2 26
65.0%
ValueCountFrequency (%)
2 26
65.0%
1 11
27.5%

w1_G01_5
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Played a musical instrument (1) YES (2) NO

Distinct2
Distinct (%)5.4%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.513513514
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:02.658398image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5067117097
Coefficient of variation (CV)0.3347916653
Kurtosis-2.114285714
Mean1.513513514
Median Absolute Deviation (MAD)0
Skewness-0.05638596469
Sum56
Variance0.2567567568
MonotonicityNot monotonic
2025-02-26T17:44:02.698078image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 19
47.5%
1 18
45.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 18
45.0%
2 19
47.5%
ValueCountFrequency (%)
2 19
47.5%
1 18
45.0%

w1_G01_6
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Played a musical instrument in an orchestra or pop/rock/jazz/folk band (1) YES (2) NO

Distinct2
Distinct (%)5.4%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.945945946
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:02.735629image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2292434351
Coefficient of variation (CV)0.1178056542
Kurtosis15.76653061
Mean1.945945946
Median Absolute Deviation (MAD)0
Skewness-4.112907933
Sum72
Variance0.05255255255
MonotonicityNot monotonic
2025-02-26T17:44:02.773817image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 35
87.5%
1 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 2
 
5.0%
2 35
87.5%
ValueCountFrequency (%)
2 35
87.5%
1 2
 
5.0%

w1_G01_7
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Composed music or performed as DJ (1) YES (2) NO

Distinct2
Distinct (%)5.6%
Missing4
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean1.944444444
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:02.811455image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.75
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2323106841
Coefficient of variation (CV)0.1194740661
Kurtosis15.25951557
Mean1.944444444
Median Absolute Deviation (MAD)0
Skewness-4.051369717
Sum70
Variance0.05396825397
MonotonicityNot monotonic
2025-02-26T17:44:02.849497image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 34
85.0%
1 2
 
5.0%
(Missing) 4
 
10.0%
ValueCountFrequency (%)
1 2
 
5.0%
2 34
85.0%
ValueCountFrequency (%)
2 34
85.0%
1 2
 
5.0%

w1_G01_8
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance) (1) YES (2) NO

Distinct2
Distinct (%)5.4%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.567567568
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:02.886364image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5022472023
Coefficient of variation (CV)0.3203990774
Kurtosis-2.032112845
Mean1.567567568
Median Absolute Deviation (MAD)0
Skewness-0.2844359156
Sum58
Variance0.2522522523
MonotonicityNot monotonic
2025-02-26T17:44:02.923778image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 21
52.5%
1 16
40.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 16
40.0%
2 21
52.5%
ValueCountFrequency (%)
2 21
52.5%
1 16
40.0%

w1_G01_9
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Did choreography for a dance performance (1) YES (2) NO

Distinct2
Distinct (%)5.6%
Missing4
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean1.888888889
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:02.959416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3187276292
Coefficient of variation (CV)0.1687381566
Kurtosis4.948195187
Mean1.888888889
Median Absolute Deviation (MAD)0
Skewness-2.583803023
Sum68
Variance0.1015873016
MonotonicityNot monotonic
2025-02-26T17:44:02.997854image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 32
80.0%
1 4
 
10.0%
(Missing) 4
 
10.0%
ValueCountFrequency (%)
1 4
 
10.0%
2 32
80.0%
ValueCountFrequency (%)
2 32
80.0%
1 4
 
10.0%

w1_G02_1
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Theatre plays? (1) Never, (2) ... , (6) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.675675676
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:03.033993image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.248422428
Coefficient of variation (CV)0.4665821195
Kurtosis-0.4935728282
Mean2.675675676
Median Absolute Deviation (MAD)1
Skewness0.5712907789
Sum99
Variance1.558558559
MonotonicityNot monotonic
2025-02-26T17:44:03.074514image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 13
32.5%
3 10
25.0%
1 6
15.0%
5 5
 
12.5%
4 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 6
15.0%
2 13
32.5%
3 10
25.0%
4 3
 
7.5%
5 5
 
12.5%
ValueCountFrequency (%)
5 5
 
12.5%
4 3
 
7.5%
3 10
25.0%
2 13
32.5%
1 6
15.0%

w1_G02_2
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Cabarets, or a stand-up comedy? (1) Never, (2) ... , (6) Very often

Distinct5
Distinct (%)13.9%
Missing4
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean3.083333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:03.114866image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34.25
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.461408323
Coefficient of variation (CV)0.4739702668
Kurtosis-1.407998463
Mean3.083333333
Median Absolute Deviation (MAD)1
Skewness0.02221223493
Sum111
Variance2.135714286
MonotonicityNot monotonic
2025-02-26T17:44:03.154130image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 9
22.5%
2 9
22.5%
4 6
15.0%
1 6
15.0%
3 6
15.0%
(Missing) 4
10.0%
ValueCountFrequency (%)
1 6
15.0%
2 9
22.5%
3 6
15.0%
4 6
15.0%
5 9
22.5%
ValueCountFrequency (%)
5 9
22.5%
4 6
15.0%
3 6
15.0%
2 9
22.5%
1 6
15.0%

w1_G02_3
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Ballets or a modern dance? (1) Never, (2) ... , (6) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.567567568
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:03.194626image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.365050682
Coefficient of variation (CV)0.5316513181
Kurtosis-0.8549854982
Mean2.567567568
Median Absolute Deviation (MAD)1
Skewness0.4388863466
Sum95
Variance1.863363363
MonotonicityNot monotonic
2025-02-26T17:44:03.302451image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 11
27.5%
3 11
27.5%
2 7
17.5%
5 5
12.5%
4 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 11
27.5%
2 7
17.5%
3 11
27.5%
4 3
 
7.5%
5 5
12.5%
ValueCountFrequency (%)
5 5
12.5%
4 3
 
7.5%
3 11
27.5%
2 7
17.5%
1 11
27.5%

w1_G02_4
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Classical music? (1) Never, (2) ... , (6) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.378378378
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:03.342098image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.34063317
Coefficient of variation (CV)0.3968274184
Kurtosis-1.214709042
Mean3.378378378
Median Absolute Deviation (MAD)1
Skewness-0.1639253002
Sum125
Variance1.797297297
MonotonicityNot monotonic
2025-02-26T17:44:03.382618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 11
27.5%
3 9
22.5%
2 8
20.0%
4 6
15.0%
1 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 3
 
7.5%
2 8
20.0%
3 9
22.5%
4 6
15.0%
5 11
27.5%
ValueCountFrequency (%)
5 11
27.5%
4 6
15.0%
3 9
22.5%
2 8
20.0%
1 3
 
7.5%

w1_G02_5
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Opera? (1) Never, (2) ... , (6) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.135135135
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:03.421859image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.272839393
Coefficient of variation (CV)0.5961399688
Kurtosis0.05973223122
Mean2.135135135
Median Absolute Deviation (MAD)1
Skewness1.014795889
Sum79
Variance1.62012012
MonotonicityNot monotonic
2025-02-26T17:44:03.463499image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 15
37.5%
2 11
27.5%
3 5
 
12.5%
4 3
 
7.5%
5 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 15
37.5%
2 11
27.5%
3 5
 
12.5%
4 3
 
7.5%
5 3
 
7.5%
ValueCountFrequency (%)
5 3
 
7.5%
4 3
 
7.5%
3 5
 
12.5%
2 11
27.5%
1 15
37.5%

w1_G02_6
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Musical? (1) Never, (2) ... , (6) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.972972973
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:03.504128image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.607041562
Coefficient of variation (CV)0.5405503436
Kurtosis-1.62077475
Mean2.972972973
Median Absolute Deviation (MAD)2
Skewness0.1311710581
Sum110
Variance2.582582583
MonotonicityNot monotonic
2025-02-26T17:44:03.544638image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 11
27.5%
1 9
22.5%
2 9
22.5%
4 4
 
10.0%
3 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 9
22.5%
2 9
22.5%
3 4
 
10.0%
4 4
 
10.0%
5 11
27.5%
ValueCountFrequency (%)
5 11
27.5%
4 4
 
10.0%
3 4
 
10.0%
2 9
22.5%
1 9
22.5%

w1_G02_7
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Pop or rock? (1) Never, (2) ... , (6) Very often

Distinct4
Distinct (%)10.8%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean4.459459459
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:03.582365image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.8
Q14
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8690542303
Coefficient of variation (CV)0.1948788274
Kurtosis1.864844267
Mean4.459459459
Median Absolute Deviation (MAD)0
Skewness-1.613561079
Sum165
Variance0.7552552553
MonotonicityNot monotonic
2025-02-26T17:44:03.619184image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 24
60.0%
4 8
 
20.0%
3 3
 
7.5%
2 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
2 2
 
5.0%
3 3
 
7.5%
4 8
 
20.0%
5 24
60.0%
ValueCountFrequency (%)
5 24
60.0%
4 8
 
20.0%
3 3
 
7.5%
2 2
 
5.0%

w1_G02_8
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Jazz or blues? (1) Never, (2) ... , (6) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.081081081
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:03.657388image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.479083394
Coefficient of variation (CV)0.4800533824
Kurtosis-1.447560323
Mean3.081081081
Median Absolute Deviation (MAD)1
Skewness0.07099687247
Sum114
Variance2.187687688
MonotonicityNot monotonic
2025-02-26T17:44:03.698030image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 10
25.0%
2 10
25.0%
1 6
15.0%
3 6
15.0%
4 5
12.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 6
15.0%
2 10
25.0%
3 6
15.0%
4 5
12.5%
5 10
25.0%
ValueCountFrequency (%)
5 10
25.0%
4 5
12.5%
3 6
15.0%
2 10
25.0%
1 6
15.0%

w1_G02_9
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Folk music concert? (1) Never, (2) ... , (6) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.297297297
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:03.738340image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.266334712
Coefficient of variation (CV)0.5512280512
Kurtosis-0.3415261421
Mean2.297297297
Median Absolute Deviation (MAD)1
Skewness0.7886665991
Sum85
Variance1.603603604
MonotonicityNot monotonic
2025-02-26T17:44:03.778962image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 12
30.0%
2 12
30.0%
3 6
15.0%
4 4
 
10.0%
5 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 12
30.0%
2 12
30.0%
3 6
15.0%
4 4
 
10.0%
5 3
 
7.5%
ValueCountFrequency (%)
5 3
 
7.5%
4 4
 
10.0%
3 6
15.0%
2 12
30.0%
1 12
30.0%

w1_G02_10
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of World music? (1) Never, (2) ... , (6) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.945945946
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:03.819453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.526541952
Coefficient of variation (CV)0.5181839653
Kurtosis-1.447844554
Mean2.945945946
Median Absolute Deviation (MAD)1
Skewness0.09583733044
Sum109
Variance2.33033033
MonotonicityNot monotonic
2025-02-26T17:44:03.858808image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 9
22.5%
5 9
22.5%
3 7
17.5%
2 7
17.5%
4 5
12.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 9
22.5%
2 7
17.5%
3 7
17.5%
4 5
12.5%
5 9
22.5%
ValueCountFrequency (%)
5 9
22.5%
4 5
12.5%
3 7
17.5%
2 7
17.5%
1 9
22.5%

w1_G02_11
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Urban (rap, hip-hop, trap)? (1) Never, (2) ... , (6) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.297297297
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:03.897741image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.578762963
Coefficient of variation (CV)0.4788051608
Kurtosis-1.370866133
Mean3.297297297
Median Absolute Deviation (MAD)1
Skewness-0.3880573695
Sum122
Variance2.492492492
MonotonicityNot monotonic
2025-02-26T17:44:03.939091image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 12
30.0%
1 9
22.5%
4 7
17.5%
3 7
17.5%
2 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 9
22.5%
2 2
 
5.0%
3 7
17.5%
4 7
17.5%
5 12
30.0%
ValueCountFrequency (%)
5 12
30.0%
4 7
17.5%
3 7
17.5%
2 2
 
5.0%
1 9
22.5%

w1_G02_12
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Dance or house? (1) Never, (2) ... , (6) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.486486486
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:03.978557image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.55673486
Coefficient of variation (CV)0.6260781501
Kurtosis-1.20442341
Mean2.486486486
Median Absolute Deviation (MAD)1
Skewness0.5636346023
Sum92
Variance2.423423423
MonotonicityNot monotonic
2025-02-26T17:44:04.020244image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 15
37.5%
5 7
17.5%
2 6
 
15.0%
3 6
 
15.0%
4 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 15
37.5%
2 6
 
15.0%
3 6
 
15.0%
4 3
 
7.5%
5 7
17.5%
ValueCountFrequency (%)
5 7
17.5%
4 3
 
7.5%
3 6
 
15.0%
2 6
 
15.0%
1 15
37.5%

w1_G02_13
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Popular national or local music? (1) Never, (2) ... , (6) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.405405405
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:04.060161image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.499249061
Coefficient of variation (CV)0.4402556767
Kurtosis-1.410028113
Mean3.405405405
Median Absolute Deviation (MAD)2
Skewness-0.2777991555
Sum126
Variance2.247747748
MonotonicityNot monotonic
2025-02-26T17:44:04.101828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 14
35.0%
2 7
17.5%
3 7
17.5%
1 5
 
12.5%
4 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 5
 
12.5%
2 7
17.5%
3 7
17.5%
4 4
 
10.0%
5 14
35.0%
ValueCountFrequency (%)
5 14
35.0%
4 4
 
10.0%
3 7
17.5%
2 7
17.5%
1 5
 
12.5%

w1_G02_14
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of A singer/songwriter? (1) Never, (2) ... , (6) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.756756757
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:04.141862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.422154184
Coefficient of variation (CV)0.3785590273
Kurtosis-0.7662008313
Mean3.756756757
Median Absolute Deviation (MAD)1
Skewness-0.7691119212
Sum139
Variance2.022522523
MonotonicityNot monotonic
2025-02-26T17:44:04.183272image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 17
42.5%
4 6
 
15.0%
3 6
 
15.0%
1 4
 
10.0%
2 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 4
 
10.0%
2 4
 
10.0%
3 6
 
15.0%
4 6
 
15.0%
5 17
42.5%
ValueCountFrequency (%)
5 17
42.5%
4 6
 
15.0%
3 6
 
15.0%
2 4
 
10.0%
1 4
 
10.0%

w1_G02_15
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Other music? (1) Never, (2) ... , (6) Very often

Distinct5
Distinct (%)13.9%
Missing4
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean3.416666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:04.225072image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation1.696635326
Coefficient of variation (CV)0.4965761929
Kurtosis-1.55532133
Mean3.416666667
Median Absolute Deviation (MAD)1
Skewness-0.4431482893
Sum123
Variance2.878571429
MonotonicityNot monotonic
2025-02-26T17:44:04.265608image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 16
40.0%
1 9
22.5%
4 4
 
10.0%
3 4
 
10.0%
2 3
 
7.5%
(Missing) 4
 
10.0%
ValueCountFrequency (%)
1 9
22.5%
2 3
 
7.5%
3 4
 
10.0%
4 4
 
10.0%
5 16
40.0%
ValueCountFrequency (%)
5 16
40.0%
4 4
 
10.0%
3 4
 
10.0%
2 3
 
7.5%
1 9
22.5%

w1_G02_16
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of A sport events? (1) Never, (2) ... , (6) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.675675676
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:04.306307image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.472979861
Coefficient of variation (CV)0.5505076247
Kurtosis-1.054439664
Mean2.675675676
Median Absolute Deviation (MAD)1
Skewness0.4893688428
Sum99
Variance2.16966967
MonotonicityNot monotonic
2025-02-26T17:44:04.346278image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 10
25.0%
2 9
22.5%
3 9
22.5%
5 8
20.0%
4 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 10
25.0%
2 9
22.5%
3 9
22.5%
4 1
 
2.5%
5 8
20.0%
ValueCountFrequency (%)
5 8
20.0%
4 1
 
2.5%
3 9
22.5%
2 9
22.5%
1 10
25.0%

w1_G03_1
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created paintings, drawings, graphical works (by hand) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.675675676
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:04.385453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.528507879
Coefficient of variation (CV)0.5712605205
Kurtosis-1.342942148
Mean2.675675676
Median Absolute Deviation (MAD)2
Skewness0.2886024413
Sum99
Variance2.336336336
MonotonicityNot monotonic
2025-02-26T17:44:04.426724image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 13
32.5%
3 9
22.5%
5 7
17.5%
4 4
 
10.0%
2 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 13
32.5%
2 4
 
10.0%
3 9
22.5%
4 4
 
10.0%
5 7
17.5%
ValueCountFrequency (%)
5 7
17.5%
4 4
 
10.0%
3 9
22.5%
2 4
 
10.0%
1 13
32.5%

w1_G03_2
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created photographs as a hobby (excluding family and/or holiday pictures) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.837837838
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:04.466397image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.554804624
Coefficient of variation (CV)0.547883534
Kurtosis-1.546145648
Mean2.837837838
Median Absolute Deviation (MAD)2
Skewness0.05074575455
Sum105
Variance2.417417417
MonotonicityNot monotonic
2025-02-26T17:44:04.508238image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 12
30.0%
4 8
20.0%
5 7
17.5%
3 6
15.0%
2 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 12
30.0%
2 4
 
10.0%
3 6
15.0%
4 8
20.0%
5 7
17.5%
ValueCountFrequency (%)
5 7
17.5%
4 8
20.0%
3 6
15.0%
2 4
 
10.0%
1 12
30.0%

w1_G03_3
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created sculptures, pottery, glass, jewels, textile works (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.027027027
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:04.547954image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.55432169
Coefficient of variation (CV)0.7667987004
Kurtosis-0.3710342055
Mean2.027027027
Median Absolute Deviation (MAD)0
Skewness1.125673137
Sum75
Variance2.415915916
MonotonicityNot monotonic
2025-02-26T17:44:04.588668image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 24
60.0%
5 6
 
15.0%
3 5
 
12.5%
4 1
 
2.5%
2 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 24
60.0%
2 1
 
2.5%
3 5
 
12.5%
4 1
 
2.5%
5 6
 
15.0%
ValueCountFrequency (%)
5 6
 
15.0%
4 1
 
2.5%
3 5
 
12.5%
2 1
 
2.5%
1 24
60.0%

w1_G03_4
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Written any poetry, prose, fiction or non-fiction in your leisure time (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.9%
Missing4
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean2.111111111
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:04.628047image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.449685242
Coefficient of variation (CV)0.6866930095
Kurtosis-0.5796422983
Mean2.111111111
Median Absolute Deviation (MAD)0
Skewness0.9277489904
Sum76
Variance2.101587302
MonotonicityNot monotonic
2025-02-26T17:44:04.668072image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 20
50.0%
3 6
 
15.0%
5 4
 
10.0%
4 3
 
7.5%
2 3
 
7.5%
(Missing) 4
 
10.0%
ValueCountFrequency (%)
1 20
50.0%
2 3
 
7.5%
3 6
 
15.0%
4 3
 
7.5%
5 4
 
10.0%
ValueCountFrequency (%)
5 4
 
10.0%
4 3
 
7.5%
3 6
 
15.0%
2 3
 
7.5%
1 20
50.0%

w1_G03_5
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Had a blog or an own website on the internet (1) Never, (2) ... , (5) Very often

Distinct4
Distinct (%)10.8%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.108108108
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:04.707441image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.646271609
Coefficient of variation (CV)0.7809237119
Kurtosis-0.6037483084
Mean2.108108108
Median Absolute Deviation (MAD)0
Skewness1.081408941
Sum78
Variance2.71021021
MonotonicityNot monotonic
2025-02-26T17:44:04.746934image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 23
57.5%
5 8
 
20.0%
2 3
 
7.5%
3 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 23
57.5%
2 3
 
7.5%
3 3
 
7.5%
5 8
 
20.0%
ValueCountFrequency (%)
5 8
 
20.0%
3 3
 
7.5%
2 3
 
7.5%
1 23
57.5%

w1_G03_6
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Published your own work (novel) on paper (1) Never, (2) ... , (5) Very often

Distinct4
Distinct (%)10.8%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.513513514
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:04.786546image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4.2
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.193073101
Coefficient of variation (CV)0.7882804415
Kurtosis3.412744941
Mean1.513513514
Median Absolute Deviation (MAD)0
Skewness2.196828082
Sum56
Variance1.423423423
MonotonicityNot monotonic
2025-02-26T17:44:04.827095image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 30
75.0%
4 3
 
7.5%
2 2
 
5.0%
5 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 30
75.0%
2 2
 
5.0%
4 3
 
7.5%
5 2
 
5.0%
ValueCountFrequency (%)
5 2
 
5.0%
4 3
 
7.5%
2 2
 
5.0%
1 30
75.0%

w1_G03_7
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Published your own work (novel) in whatever form on the internet (including weblogs, ezines, and other internet publications) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.567567568
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:04.866845image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.214279405
Coefficient of variation (CV)0.7746265173
Kurtosis3.657012576
Mean1.567567568
Median Absolute Deviation (MAD)0
Skewness2.195363029
Sum58
Variance1.474474474
MonotonicityNot monotonic
2025-02-26T17:44:04.907943image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 28
70.0%
2 4
 
10.0%
5 3
 
7.5%
4 1
 
2.5%
3 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 28
70.0%
2 4
 
10.0%
3 1
 
2.5%
4 1
 
2.5%
5 3
 
7.5%
ValueCountFrequency (%)
5 3
 
7.5%
4 1
 
2.5%
3 1
 
2.5%
2 4
 
10.0%
1 28
70.0%

w1_G03_8
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded your own film(s) or video(s) on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.810810811
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:04.947308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.411024802
Coefficient of variation (CV)0.7792226517
Kurtosis0.6817622059
Mean1.810810811
Median Absolute Deviation (MAD)0
Skewness1.483561416
Sum67
Variance1.990990991
MonotonicityNot monotonic
2025-02-26T17:44:04.988147image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 26
65.0%
5 4
 
10.0%
3 3
 
7.5%
2 2
 
5.0%
4 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 26
65.0%
2 2
 
5.0%
3 3
 
7.5%
4 2
 
5.0%
5 4
 
10.0%
ValueCountFrequency (%)
5 4
 
10.0%
4 2
 
5.0%
3 3
 
7.5%
2 2
 
5.0%
1 26
65.0%

w1_G03_9
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded images of your work of visual arts and crafts on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.297297297
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:05.027569image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.664412891
Coefficient of variation (CV)0.7245091406
Kurtosis-1.268591158
Mean2.297297297
Median Absolute Deviation (MAD)0
Skewness0.7201654927
Sum85
Variance2.77027027
MonotonicityNot monotonic
2025-02-26T17:44:05.067734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 21
52.5%
5 7
 
17.5%
4 4
 
10.0%
3 3
 
7.5%
2 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 21
52.5%
2 2
 
5.0%
3 3
 
7.5%
4 4
 
10.0%
5 7
 
17.5%
ValueCountFrequency (%)
5 7
 
17.5%
4 4
 
10.0%
3 3
 
7.5%
2 2
 
5.0%
1 21
52.5%

w1_G03_10
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded either your own performance or performance of your company, ensemble, or group on the internet (1) Never, (2) ... , (5) Very often

Distinct4
Distinct (%)10.8%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.567567568
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:05.106450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4.2
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.259200375
Coefficient of variation (CV)0.8032829981
Kurtosis2.225935829
Mean1.567567568
Median Absolute Deviation (MAD)0
Skewness1.956766442
Sum58
Variance1.585585586
MonotonicityNot monotonic
2025-02-26T17:44:05.146855image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 30
75.0%
4 4
 
10.0%
5 2
 
5.0%
2 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 30
75.0%
2 1
 
2.5%
4 4
 
10.0%
5 2
 
5.0%
ValueCountFrequency (%)
5 2
 
5.0%
4 4
 
10.0%
2 1
 
2.5%
1 30
75.0%

w1_G04_1
Real number (ℝ)

Missing 

During the last year or so... Did you view paintings, drawings, graphical works, photos, and sculptures, products of crafts or virtual exhibitions of visual arts or crafts (on the internet or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.351351351
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:05.187396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.43790388
Coefficient of variation (CV)0.4290519641
Kurtosis-1.251704024
Mean3.351351351
Median Absolute Deviation (MAD)1
Skewness-0.2475332623
Sum124
Variance2.067567568
MonotonicityNot monotonic
2025-02-26T17:44:05.228402image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 12
30.0%
3 9
22.5%
2 6
15.0%
4 5
12.5%
1 5
12.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 5
12.5%
2 6
15.0%
3 9
22.5%
4 5
12.5%
5 12
30.0%
ValueCountFrequency (%)
5 12
30.0%
4 5
12.5%
3 9
22.5%
2 6
15.0%
1 5
12.5%

w1_G04_2
Real number (ℝ)

Missing 

During the last year or so... Did you view or listen to a programme about visual arts and crafts (on television, radio, video, DVD, internet, or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.162162162
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:05.268951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.364500591
Coefficient of variation (CV)0.4315087338
Kurtosis-1.193015836
Mean3.162162162
Median Absolute Deviation (MAD)1
Skewness-0.1013182764
Sum117
Variance1.861861862
MonotonicityNot monotonic
2025-02-26T17:44:05.308343image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 8
20.0%
5 8
20.0%
4 8
20.0%
2 8
20.0%
1 5
12.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 5
12.5%
2 8
20.0%
3 8
20.0%
4 8
20.0%
5 8
20.0%
ValueCountFrequency (%)
5 8
20.0%
4 8
20.0%
3 8
20.0%
2 8
20.0%
1 5
12.5%

w1_G04_3
Real number (ℝ)

Missing 

During the last year or so... Did you visit a museum in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.27027027
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:05.347135image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.304876509
Coefficient of variation (CV)0.3990118249
Kurtosis-0.8086018182
Mean3.27027027
Median Absolute Deviation (MAD)1
Skewness-0.2964633588
Sum121
Variance1.702702703
MonotonicityNot monotonic
2025-02-26T17:44:05.388468image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 12
30.0%
4 8
20.0%
5 8
20.0%
1 5
12.5%
2 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 5
12.5%
2 4
 
10.0%
3 12
30.0%
4 8
20.0%
5 8
20.0%
ValueCountFrequency (%)
5 8
20.0%
4 8
20.0%
3 12
30.0%
2 4
 
10.0%
1 5
12.5%

w1_G04_4
Real number (ℝ)

Missing 

During the last year or so... Did you visit galleries or exhibitions in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.243243243
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:05.428069image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.422154184
Coefficient of variation (CV)0.43849754
Kurtosis-1.127896616
Mean3.243243243
Median Absolute Deviation (MAD)1
Skewness-0.3947353173
Sum120
Variance2.022522523
MonotonicityNot monotonic
2025-02-26T17:44:05.537968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 11
27.5%
5 8
20.0%
1 7
17.5%
3 7
17.5%
2 4
 
10.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 7
17.5%
2 4
 
10.0%
3 7
17.5%
4 11
27.5%
5 8
20.0%
ValueCountFrequency (%)
5 8
20.0%
4 11
27.5%
3 7
17.5%
2 4
 
10.0%
1 7
17.5%

w1_G04_5
Real number (ℝ)

Missing 

During the last year or so... Did you visit monuments, historical or artistic places, famous buildings or archaeological sites in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.324324324
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:05.577485image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.17978468
Coefficient of variation (CV)0.3548945786
Kurtosis-0.5542224204
Mean3.324324324
Median Absolute Deviation (MAD)1
Skewness-0.2506393082
Sum123
Variance1.391891892
MonotonicityNot monotonic
2025-02-26T17:44:05.618700image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 13
32.5%
4 9
22.5%
5 7
17.5%
2 5
 
12.5%
1 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 3
 
7.5%
2 5
 
12.5%
3 13
32.5%
4 9
22.5%
5 7
17.5%
ValueCountFrequency (%)
5 7
17.5%
4 9
22.5%
3 13
32.5%
2 5
 
12.5%
1 3
 
7.5%

w1_G04_6
Real number (ℝ)

Missing 

During the last year or so... Did you view virtual exhibitions of art or any kind of museum objects, monuments, historical or artistic places, buildings or sites (on the internet or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.864864865
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:05.658350image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.084285791
Coefficient of variation (CV)0.3784771156
Kurtosis-0.4898054981
Mean2.864864865
Median Absolute Deviation (MAD)1
Skewness0.2821821214
Sum106
Variance1.175675676
MonotonicityNot monotonic
2025-02-26T17:44:05.699083image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 12
30.0%
2 12
30.0%
4 7
17.5%
1 3
 
7.5%
5 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 3
 
7.5%
2 12
30.0%
3 12
30.0%
4 7
17.5%
5 3
 
7.5%
ValueCountFrequency (%)
5 3
 
7.5%
4 7
17.5%
3 12
30.0%
2 12
30.0%
1 3
 
7.5%

w1_G04_7
Real number (ℝ)

Missing 

During the last year or so... Did you make at least one film or one video as an artistic hobby (thus excluding family and holidays films or videos)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.783783784
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:05.740471image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4.2
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.204969689
Coefficient of variation (CV)0.6755133106
Kurtosis1.121022723
Mean1.783783784
Median Absolute Deviation (MAD)0
Skewness1.448131814
Sum66
Variance1.451951952
MonotonicityNot monotonic
2025-02-26T17:44:05.779824image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 23
57.5%
3 5
 
12.5%
2 5
 
12.5%
4 2
 
5.0%
5 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 23
57.5%
2 5
 
12.5%
3 5
 
12.5%
4 2
 
5.0%
5 2
 
5.0%
ValueCountFrequency (%)
5 2
 
5.0%
4 2
 
5.0%
3 5
 
12.5%
2 5
 
12.5%
1 23
57.5%

w1_G04_8
Real number (ℝ)

Missing 

During the last year or so... Did you go to the cinema or a film festival in your own country? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.891891892
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:05.819463image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.409960279
Coefficient of variation (CV)0.4875563581
Kurtosis-1.246732341
Mean2.891891892
Median Absolute Deviation (MAD)1
Skewness0.2017522561
Sum107
Variance1.987987988
MonotonicityNot monotonic
2025-02-26T17:44:05.859383image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 10
25.0%
1 7
17.5%
5 7
17.5%
3 7
17.5%
4 6
15.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 7
17.5%
2 10
25.0%
3 7
17.5%
4 6
15.0%
5 7
17.5%
ValueCountFrequency (%)
5 7
17.5%
4 6
15.0%
3 7
17.5%
2 10
25.0%
1 7
17.5%

w1_G04_9
Real number (ℝ)

Missing 

During the last year or so... Did you visit a zoo or animal park? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.378378378
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:05.898461image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.440512088
Coefficient of variation (CV)0.6056698551
Kurtosis-1.318775255
Mean2.378378378
Median Absolute Deviation (MAD)1
Skewness0.4636642774
Sum88
Variance2.075075075
MonotonicityNot monotonic
2025-02-26T17:44:05.939618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 16
40.0%
4 8
20.0%
3 5
 
12.5%
2 5
 
12.5%
5 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 16
40.0%
2 5
 
12.5%
3 5
 
12.5%
4 8
20.0%
5 3
 
7.5%
ValueCountFrequency (%)
5 3
 
7.5%
4 8
20.0%
3 5
 
12.5%
2 5
 
12.5%
1 16
40.0%

w1_G04_10
Real number (ℝ)

Missing 

During the last year or so... Did you visit a natural reserve? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean2.432432432
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:05.979409image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.424791223
Coefficient of variation (CV)0.5857475029
Kurtosis-1.321974657
Mean2.432432432
Median Absolute Deviation (MAD)1
Skewness0.4487466196
Sum90
Variance2.03003003
MonotonicityNot monotonic
2025-02-26T17:44:06.021027image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 14
35.0%
4 9
22.5%
2 8
20.0%
3 3
 
7.5%
5 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 14
35.0%
2 8
20.0%
3 3
 
7.5%
4 9
22.5%
5 3
 
7.5%
ValueCountFrequency (%)
5 3
 
7.5%
4 9
22.5%
3 3
 
7.5%
2 8
20.0%
1 14
35.0%

w1_G05_1
Real number (ℝ)

Missing 

During the last year or so... How often did you visit a bookshop in your own country or abroad? 1. Never, 2., 3., 4., 5., 6. Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.324324324
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:06.061006image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.292156983
Coefficient of variation (CV)0.3886976291
Kurtosis-1.323449998
Mean3.324324324
Median Absolute Deviation (MAD)1
Skewness-0.07820523687
Sum123
Variance1.66966967
MonotonicityNot monotonic
2025-02-26T17:44:06.101451image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 11
27.5%
4 9
22.5%
5 9
22.5%
3 6
15.0%
1 2
 
5.0%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 2
 
5.0%
2 11
27.5%
3 6
15.0%
4 9
22.5%
5 9
22.5%
ValueCountFrequency (%)
5 9
22.5%
4 9
22.5%
3 6
15.0%
2 11
27.5%
1 2
 
5.0%

w1_G05_2
Real number (ℝ)

Missing 

During the last year or so... How often did you visit an online bookshop and/or search for literature and other material available in a library on the internet? 1. Never, 2., 3., 4., 5., 6. Very often

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.351351351
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:06.140539image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.418454092
Coefficient of variation (CV)0.4232483985
Kurtosis-1.196010034
Mean3.351351351
Median Absolute Deviation (MAD)1
Skewness-0.2979008187
Sum124
Variance2.012012012
MonotonicityNot monotonic
2025-02-26T17:44:06.181044image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 11
27.5%
3 8
20.0%
4 7
17.5%
2 6
15.0%
1 5
12.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 5
12.5%
2 6
15.0%
3 8
20.0%
4 7
17.5%
5 11
27.5%
ValueCountFrequency (%)
5 11
27.5%
4 7
17.5%
3 8
20.0%
2 6
15.0%
1 5
12.5%

w1_G06
Real number (ℝ)

Missing 

Approximately, how many books (printed or eBook) do you have where you live? 1. None 2. 1-25 3. 26-50 4. 51-100 5. 101-200 6. 201-400 7. More than 400

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.837837838
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:06.221014image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q34
95-th percentile7
Maximum7
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.481619113
Coefficient of variation (CV)0.3860556843
Kurtosis0.1617016659
Mean3.837837838
Median Absolute Deviation (MAD)1
Skewness0.8902524519
Sum142
Variance2.195195195
MonotonicityNot monotonic
2025-02-26T17:44:06.259256image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 12
30.0%
4 10
25.0%
2 6
15.0%
5 4
 
10.0%
7 4
 
10.0%
6 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
2 6
15.0%
3 12
30.0%
4 10
25.0%
5 4
 
10.0%
6 1
 
2.5%
ValueCountFrequency (%)
7 4
 
10.0%
6 1
 
2.5%
5 4
 
10.0%
4 10
25.0%
3 12
30.0%

w1_G07_1
Real number (ℝ)

Missing 

During the last year or so... Did you read a printed book in your leisure time? [If YES go to G17] (1) Yes; (2) No

Distinct2
Distinct (%)5.3%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean1.131578947
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:06.296798image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3425699875
Coefficient of variation (CV)0.302736268
Kurtosis3.327330447
Mean1.131578947
Median Absolute Deviation (MAD)0
Skewness2.270420078
Sum43
Variance0.1173541963
MonotonicityNot monotonic
2025-02-26T17:44:06.334551image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 33
82.5%
2 5
 
12.5%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 33
82.5%
2 5
 
12.5%
ValueCountFrequency (%)
2 5
 
12.5%
1 33
82.5%

w1_G07_2
Real number (ℝ)

Missing 

During the last year or so... Did you read a book in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? [If YES go to G17] (1) Yes; (2) No

Distinct2
Distinct (%)5.3%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean1.263157895
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:06.371792image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.75
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.44625835
Coefficient of variation (CV)0.3532878604
Kurtosis-0.7890816327
Mean1.263157895
Median Absolute Deviation (MAD)0
Skewness1.120427214
Sum48
Variance0.1991465149
MonotonicityNot monotonic
2025-02-26T17:44:06.409023image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 28
70.0%
2 10
 
25.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 28
70.0%
2 10
 
25.0%
ValueCountFrequency (%)
2 10
 
25.0%
1 28
70.0%

w1_G08_1
Boolean

Missing 

Which kind of books did you read? (tick all that apply): Literature & Novels

Distinct2
Distinct (%)5.6%
Missing4
Missing (%)10.0%
Memory size212.0 B
True
24 
False
12 
(Missing)
ValueCountFrequency (%)
True 24
60.0%
False 12
30.0%
(Missing) 4
 
10.0%
2025-02-26T17:44:06.445720image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_2
Boolean

Missing 

Which kind of books did you read? (tick all that apply): Science Fiction & Fantasy

Distinct2
Distinct (%)5.6%
Missing4
Missing (%)10.0%
Memory size212.0 B
True
22 
False
14 
(Missing)
ValueCountFrequency (%)
True 22
55.0%
False 14
35.0%
(Missing) 4
 
10.0%
2025-02-26T17:44:06.480881image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_3
Boolean

Missing 

Which kind of books did you read? (tick all that apply): Mystery & Thrillers

Distinct2
Distinct (%)5.6%
Missing4
Missing (%)10.0%
Memory size212.0 B
False
19 
True
17 
(Missing)
ValueCountFrequency (%)
False 19
47.5%
True 17
42.5%
(Missing) 4
 
10.0%
2025-02-26T17:44:06.515667image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_4
Boolean

Missing 

Which kind of books did you read? (tick all that apply): History

Distinct2
Distinct (%)5.6%
Missing4
Missing (%)10.0%
Memory size212.0 B
False
28 
True
(Missing)
ValueCountFrequency (%)
False 28
70.0%
True 8
 
20.0%
(Missing) 4
 
10.0%
2025-02-26T17:44:06.551088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_5
Boolean

Imbalance  Missing 

Which kind of books did you read? (tick all that apply): Biographies

Distinct2
Distinct (%)5.6%
Missing4
Missing (%)10.0%
Memory size212.0 B
False
33 
True
 
3
(Missing)
ValueCountFrequency (%)
False 33
82.5%
True 3
 
7.5%
(Missing) 4
 
10.0%
2025-02-26T17:44:06.585365image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_6
Boolean

Missing 

Which kind of books did you read? (tick all that apply): Health, Mind & Body

Distinct2
Distinct (%)5.6%
Missing4
Missing (%)10.0%
Memory size212.0 B
False
19 
True
17 
(Missing)
ValueCountFrequency (%)
False 19
47.5%
True 17
42.5%
(Missing) 4
 
10.0%
2025-02-26T17:44:06.619418image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_7
Boolean

Missing 

Which kind of books did you read? (tick all that apply): Other kind of books

Distinct2
Distinct (%)5.6%
Missing4
Missing (%)10.0%
Memory size212.0 B
False
24 
True
12 
(Missing)
ValueCountFrequency (%)
False 24
60.0%
True 12
30.0%
(Missing) 4
 
10.0%
2025-02-26T17:44:06.654276image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G09
Real number (ℝ)

Missing  Zeros 

In the last year or so, approximately how many books have you read (not for study)? |__|__|

Distinct14
Distinct (%)41.2%
Missing6
Missing (%)15.0%
Infinite0
Infinite (%)0.0%
Mean5.294117647
Minimum0
Maximum20
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:06.689505image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36.75
95-th percentile15.35
Maximum20
Range20
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation4.53624736
Coefficient of variation (CV)0.8568467235
Kurtosis2.970420343
Mean5.294117647
Median Absolute Deviation (MAD)2
Skewness1.721164372
Sum180
Variance20.57754011
MonotonicityNot monotonic
2025-02-26T17:44:06.733470image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 8
20.0%
3 5
12.5%
5 4
10.0%
6 3
 
7.5%
7 3
 
7.5%
1 2
 
5.0%
4 2
 
5.0%
8 1
 
2.5%
10 1
 
2.5%
20 1
 
2.5%
Other values (4) 4
10.0%
(Missing) 6
15.0%
ValueCountFrequency (%)
0 1
 
2.5%
1 2
 
5.0%
2 8
20.0%
3 5
12.5%
4 2
 
5.0%
ValueCountFrequency (%)
20 1
2.5%
16 1
2.5%
15 1
2.5%
11 1
2.5%
10 1
2.5%

w1_G10_1
Real number (ℝ)

Missing 

Do you read printed magazines and/or periodicals in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean4.351351351
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:06.773761image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.358434888
Coefficient of variation (CV)0.3121868998
Kurtosis-0.4180165046
Mean4.351351351
Median Absolute Deviation (MAD)1
Skewness-0.6867856744
Sum161
Variance1.845345345
MonotonicityNot monotonic
2025-02-26T17:44:06.813176image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 15
37.5%
6 7
17.5%
3 7
17.5%
4 4
 
10.0%
2 3
 
7.5%
1 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 1
 
2.5%
2 3
 
7.5%
3 7
17.5%
4 4
 
10.0%
5 15
37.5%
ValueCountFrequency (%)
6 7
17.5%
5 15
37.5%
4 4
 
10.0%
3 7
17.5%
2 3
 
7.5%

w1_G10_2
Real number (ℝ)

Missing 

Do you read magazines and/or periodicals in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.459459459
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:06.849941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5.2
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.260392236
Coefficient of variation (CV)0.3643321307
Kurtosis-0.7083230486
Mean3.459459459
Median Absolute Deviation (MAD)1
Skewness0.2725383862
Sum128
Variance1.588588589
MonotonicityNot monotonic
2025-02-26T17:44:06.888151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 12
30.0%
2 8
20.0%
4 7
17.5%
5 7
17.5%
6 2
 
5.0%
1 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 1
 
2.5%
2 8
20.0%
3 12
30.0%
4 7
17.5%
5 7
17.5%
ValueCountFrequency (%)
6 2
 
5.0%
5 7
17.5%
4 7
17.5%
3 12
30.0%
2 8
20.0%

w1_G10_3
Real number (ℝ)

Missing 

Do you read printed newspapers? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct5
Distinct (%)13.5%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean4.918918919
Minimum2
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:06.925245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q15
median5
Q36
95-th percentile6
Maximum6
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.401950593
Coefficient of variation (CV)0.2850119338
Kurtosis-0.1245919973
Mean4.918918919
Median Absolute Deviation (MAD)1
Skewness-1.127177129
Sum182
Variance1.965465465
MonotonicityNot monotonic
2025-02-26T17:44:06.966600image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
6 18
45.0%
5 10
25.0%
3 4
 
10.0%
2 4
 
10.0%
4 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
2 4
 
10.0%
3 4
 
10.0%
4 1
 
2.5%
5 10
25.0%
6 18
45.0%
ValueCountFrequency (%)
6 18
45.0%
5 10
25.0%
4 1
 
2.5%
3 4
 
10.0%
2 4
 
10.0%

w1_G10_4
Real number (ℝ)

Missing 

Do you read newspapers in digital form (i.e., on the internet, downloaded from the internet)? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)16.2%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean4.081081081
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:07.007975image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.705845805
Coefficient of variation (CV)0.4179887071
Kurtosis-1.554474625
Mean4.081081081
Median Absolute Deviation (MAD)1
Skewness-0.3105848238
Sum151
Variance2.90990991
MonotonicityNot monotonic
2025-02-26T17:44:07.045628image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 11
27.5%
6 10
25.0%
5 10
25.0%
4 3
 
7.5%
3 2
 
5.0%
1 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 1
 
2.5%
2 11
27.5%
3 2
 
5.0%
4 3
 
7.5%
5 10
25.0%
ValueCountFrequency (%)
6 10
25.0%
5 10
25.0%
4 3
 
7.5%
3 2
 
5.0%
2 11
27.5%

w1_G11_1
Real number (ℝ)

Missing 

Do you watch films on television, videos, DVD, internet, or other media? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never

Distinct4
Distinct (%)10.8%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean1.810810811
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:07.080029image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9380191255
Coefficient of variation (CV)0.5180105619
Kurtosis0.3051491132
Mean1.810810811
Median Absolute Deviation (MAD)1
Skewness1.039931225
Sum67
Variance0.8798798799
MonotonicityNot monotonic
2025-02-26T17:44:07.118675image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 17
42.5%
2 13
32.5%
3 4
 
10.0%
4 3
 
7.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 17
42.5%
2 13
32.5%
3 4
 
10.0%
4 3
 
7.5%
ValueCountFrequency (%)
4 3
 
7.5%
3 4
 
10.0%
2 13
32.5%
1 17
42.5%

w1_G11_2
Real number (ℝ)

Missing 

Do you download films from the internet? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never

Distinct4
Distinct (%)10.8%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean4.243243243
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:07.155694image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.862985947
Coefficient of variation (CV)0.2033788538
Kurtosis1.683350321
Mean4.243243243
Median Absolute Deviation (MAD)1
Skewness-1.329445318
Sum157
Variance0.7447447447
MonotonicityNot monotonic
2025-02-26T17:44:07.194194image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 17
42.5%
5 16
40.0%
2 3
 
7.5%
3 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
2 3
 
7.5%
3 1
 
2.5%
4 17
42.5%
5 16
40.0%
ValueCountFrequency (%)
5 16
40.0%
4 17
42.5%
3 1
 
2.5%
2 3
 
7.5%

w1_H01f
Real number (ℝ)

Missing 

Which is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____

Distinct9
Distinct (%)24.3%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean4.351351351
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:07.232964image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.530000178
Coefficient of variation (CV)0.5814286123
Kurtosis-1.100076927
Mean4.351351351
Median Absolute Deviation (MAD)2
Skewness0.2765407454
Sum161
Variance6.400900901
MonotonicityNot monotonic
2025-02-26T17:44:07.272004image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 8
20.0%
6 6
15.0%
1 5
12.5%
7 4
10.0%
5 4
10.0%
3 3
 
7.5%
4 3
 
7.5%
9 3
 
7.5%
8 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 5
12.5%
2 8
20.0%
3 3
 
7.5%
4 3
 
7.5%
5 4
10.0%
ValueCountFrequency (%)
9 3
7.5%
8 1
 
2.5%
7 4
10.0%
6 6
15.0%
5 4
10.0%

w1_H01f_other
Unsupported

Missing  Rejected  Unsupported 

Which is/was the highest educational level of your father or guardian …? Answer: Other, please specify: _____

Missing40
Missing (%)100.0%
Memory size457.0 B

w1_H01m
Real number (ℝ)

Missing 

Which is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____

Distinct9
Distinct (%)24.3%
Missing3
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean3.918918919
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:07.311227image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7.2
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.07335448
Coefficient of variation (CV)0.5290628673
Kurtosis-0.412721844
Mean3.918918919
Median Absolute Deviation (MAD)2
Skewness0.4304909075
Sum145
Variance4.298798799
MonotonicityNot monotonic
2025-02-26T17:44:07.350434image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 8
20.0%
6 7
17.5%
4 5
12.5%
2 5
12.5%
1 5
12.5%
5 4
10.0%
8 1
 
2.5%
9 1
 
2.5%
7 1
 
2.5%
(Missing) 3
 
7.5%
ValueCountFrequency (%)
1 5
12.5%
2 5
12.5%
3 8
20.0%
4 5
12.5%
5 4
10.0%
ValueCountFrequency (%)
9 1
 
2.5%
8 1
 
2.5%
7 1
 
2.5%
6 7
17.5%
5 4
10.0%

w1_H01m_other
Unsupported

Missing  Rejected  Unsupported 

Which is/was the highest educational level of your mother or guardian …? Answer: Other, please specify: _____

Missing40
Missing (%)100.0%
Memory size457.0 B

w1_H01fLSE
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_H01mLSE
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_H02f
Real number (ℝ)

Missing 

When you were 14 years old, did your father or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know

Distinct5
Distinct (%)13.2%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean1.657894737
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:07.388582image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.6
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.615404155
Coefficient of variation (CV)0.97437076
Kurtosis14.14626799
Mean1.657894737
Median Absolute Deviation (MAD)0
Skewness3.67897794
Sum63
Variance2.609530583
MonotonicityNot monotonic
2025-02-26T17:44:07.428310image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 26
65.0%
2 9
 
22.5%
3 1
 
2.5%
9 1
 
2.5%
7 1
 
2.5%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 26
65.0%
2 9
 
22.5%
3 1
 
2.5%
7 1
 
2.5%
9 1
 
2.5%
ValueCountFrequency (%)
9 1
 
2.5%
7 1
 
2.5%
3 1
 
2.5%
2 9
 
22.5%
1 26
65.0%

w1_H03af
Real number (ℝ)

Missing 

More precisely he or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee

Distinct11
Distinct (%)42.3%
Missing14
Missing (%)35.0%
Infinite0
Infinite (%)0.0%
Mean8.807692308
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:07.466572image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14.5
median8
Q311
95-th percentile19
Maximum19
Range18
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation5.215509415
Coefficient of variation (CV)0.5921539074
Kurtosis-0.3512838952
Mean8.807692308
Median Absolute Deviation (MAD)3.5
Skewness0.5875264553
Sum229
Variance27.20153846
MonotonicityNot monotonic
2025-02-26T17:44:07.505458image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3 5
 
12.5%
10 4
 
10.0%
7 4
 
10.0%
19 3
 
7.5%
11 2
 
5.0%
6 2
 
5.0%
14 2
 
5.0%
9 1
 
2.5%
4 1
 
2.5%
1 1
 
2.5%
(Missing) 14
35.0%
ValueCountFrequency (%)
1 1
 
2.5%
3 5
12.5%
4 1
 
2.5%
6 2
 
5.0%
7 4
10.0%
ValueCountFrequency (%)
19 3
7.5%
14 2
5.0%
13 1
 
2.5%
11 2
5.0%
10 4
10.0%

w1_H03af_other
Text

Missing 

More precisely he or guardian is/was an….? Answer: Other, please specify: _____

Distinct3
Distinct (%)100.0%
Missing37
Missing (%)92.5%
Memory size576.0 B
2025-02-26T17:44:07.573654image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length78
Median length22
Mean length39
Min length17

Characters and Unicode

Total characters117
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowMediador familiar
2nd rowEmpleado del sector salud: encargado de ropería en Hospital General Guanajuato
3rd rowMúsico de una orquesta
ValueCountFrequency (%)
de 2
 
11.8%
mediador 1
 
5.9%
familiar 1
 
5.9%
empleado 1
 
5.9%
del 1
 
5.9%
sector 1
 
5.9%
salud 1
 
5.9%
encargado 1
 
5.9%
ropería 1
 
5.9%
en 1
 
5.9%
Other values (6) 6
35.3%
2025-02-26T17:44:07.691132image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 15
12.8%
14
12.0%
e 12
 
10.3%
o 9
 
7.7%
d 8
 
6.8%
r 8
 
6.8%
l 6
 
5.1%
i 5
 
4.3%
s 5
 
4.3%
u 5
 
4.3%
Other values (16) 30
25.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 117
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 15
12.8%
14
12.0%
e 12
 
10.3%
o 9
 
7.7%
d 8
 
6.8%
r 8
 
6.8%
l 6
 
5.1%
i 5
 
4.3%
s 5
 
4.3%
u 5
 
4.3%
Other values (16) 30
25.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 117
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 15
12.8%
14
12.0%
e 12
 
10.3%
o 9
 
7.7%
d 8
 
6.8%
r 8
 
6.8%
l 6
 
5.1%
i 5
 
4.3%
s 5
 
4.3%
u 5
 
4.3%
Other values (16) 30
25.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 117
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 15
12.8%
14
12.0%
e 12
 
10.3%
o 9
 
7.7%
d 8
 
6.8%
r 8
 
6.8%
l 6
 
5.1%
i 5
 
4.3%
s 5
 
4.3%
u 5
 
4.3%
Other values (16) 30
25.6%

w1_H03bf
Real number (ℝ)

Missing 

w1_H04bf - More precisely he or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker

Distinct5
Distinct (%)55.6%
Missing31
Missing (%)77.5%
Infinite0
Infinite (%)0.0%
Mean6.111111111
Minimum2
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:07.733463image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q15
median5
Q36
95-th percentile12.8
Maximum16
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.166666667
Coefficient of variation (CV)0.6818181818
Kurtosis4.450077257
Mean6.111111111
Median Absolute Deviation (MAD)1
Skewness1.845558857
Sum55
Variance17.36111111
MonotonicityNot monotonic
2025-02-26T17:44:07.770767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 3
 
7.5%
2 2
 
5.0%
6 2
 
5.0%
16 1
 
2.5%
8 1
 
2.5%
(Missing) 31
77.5%
ValueCountFrequency (%)
2 2
5.0%
5 3
7.5%
6 2
5.0%
8 1
 
2.5%
16 1
 
2.5%
ValueCountFrequency (%)
16 1
 
2.5%
8 1
 
2.5%
6 2
5.0%
5 3
7.5%
2 2
5.0%

w1_H03bf_other
Text

Constant  Missing 

w1_H04bf_other - More precisely he or guardian is/was an….? Other, please specify: _____

Distinct1
Distinct (%)100.0%
Missing39
Missing (%)97.5%
Memory size468.0 B
2025-02-26T17:44:07.829352image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters11
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowcomerciante
ValueCountFrequency (%)
comerciante 1
100.0%
2025-02-26T17:44:07.999303image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
c 2
18.2%
e 2
18.2%
o 1
9.1%
m 1
9.1%
r 1
9.1%
i 1
9.1%
a 1
9.1%
n 1
9.1%
t 1
9.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
c 2
18.2%
e 2
18.2%
o 1
9.1%
m 1
9.1%
r 1
9.1%
i 1
9.1%
a 1
9.1%
n 1
9.1%
t 1
9.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
c 2
18.2%
e 2
18.2%
o 1
9.1%
m 1
9.1%
r 1
9.1%
i 1
9.1%
a 1
9.1%
n 1
9.1%
t 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
c 2
18.2%
e 2
18.2%
o 1
9.1%
m 1
9.1%
r 1
9.1%
i 1
9.1%
a 1
9.1%
n 1
9.1%
t 1
9.1%

w1_H02m
Real number (ℝ)

Missing 

When you were 14 years old, did your mother or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know

Distinct5
Distinct (%)13.2%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean2.052631579
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:08.039048image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33.5
95-th percentile4.15
Maximum6
Range5
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.4509525
Coefficient of variation (CV)0.706874295
Kurtosis0.03320720721
Mean2.052631579
Median Absolute Deviation (MAD)0
Skewness1.136563119
Sum78
Variance2.105263158
MonotonicityNot monotonic
2025-02-26T17:44:08.076484image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 21
52.5%
4 8
 
20.0%
2 7
 
17.5%
5 1
 
2.5%
6 1
 
2.5%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
1 21
52.5%
2 7
 
17.5%
4 8
 
20.0%
5 1
 
2.5%
6 1
 
2.5%
ValueCountFrequency (%)
6 1
 
2.5%
5 1
 
2.5%
4 8
 
20.0%
2 7
 
17.5%
1 21
52.5%

w1_H03am
Real number (ℝ)

Missing 

More precisely she or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee

Distinct9
Distinct (%)45.0%
Missing20
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean7.9
Minimum2
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:08.111219image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.95
Q16.75
median8
Q39.25
95-th percentile14
Maximum14
Range12
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation3.370147584
Coefficient of variation (CV)0.42660096
Kurtosis-0.2154897146
Mean7.9
Median Absolute Deviation (MAD)1.5
Skewness-0.05994957785
Sum158
Variance11.35789474
MonotonicityNot monotonic
2025-02-26T17:44:08.150562image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9 4
 
10.0%
8 3
 
7.5%
3 3
 
7.5%
7 3
 
7.5%
14 2
 
5.0%
11 2
 
5.0%
2 1
 
2.5%
6 1
 
2.5%
10 1
 
2.5%
(Missing) 20
50.0%
ValueCountFrequency (%)
2 1
 
2.5%
3 3
7.5%
6 1
 
2.5%
7 3
7.5%
8 3
7.5%
ValueCountFrequency (%)
14 2
5.0%
11 2
5.0%
10 1
 
2.5%
9 4
10.0%
8 3
7.5%

w1_H03am_other
Unsupported

Missing  Rejected  Unsupported 

More precisely she or guardian is/was an….? Answer: Other, please specify: _____

Missing40
Missing (%)100.0%
Memory size457.0 B

w1_H03bm
Real number (ℝ)

Missing 

w1_H04bm - More precisely she or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker

Distinct5
Distinct (%)71.4%
Missing33
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean7.428571429
Minimum4
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:08.187462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.6
Q16
median6
Q37.5
95-th percentile12.9
Maximum15
Range11
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation3.552329886
Coefficient of variation (CV)0.4781982539
Kurtosis4.672840157
Mean7.428571429
Median Absolute Deviation (MAD)1
Skewness2.004530814
Sum52
Variance12.61904762
MonotonicityNot monotonic
2025-02-26T17:44:08.224623image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
6 3
 
7.5%
15 1
 
2.5%
7 1
 
2.5%
4 1
 
2.5%
8 1
 
2.5%
(Missing) 33
82.5%
ValueCountFrequency (%)
4 1
 
2.5%
6 3
7.5%
7 1
 
2.5%
8 1
 
2.5%
15 1
 
2.5%
ValueCountFrequency (%)
15 1
 
2.5%
8 1
 
2.5%
7 1
 
2.5%
6 3
7.5%
4 1
 
2.5%

w1_H03bm_other
Unsupported

Missing  Rejected  Unsupported 

w1_H04bf_other - More precisely she or guardian is/was an….? Other, please specify: _____

Missing40
Missing (%)100.0%
Memory size457.0 B

w1_I00
Unsupported

Missing  Rejected  Unsupported 

Do you want to participate? 1. Yes, 2. No [go to I05]

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_I01
Unsupported

Missing  Rejected  Unsupported 

Your personal main smartphone is an: 1. iPhone1 [go to I05] 2. Android operating system (Samsung, etc...) with version 5.0 or higher?2 3. Another operating system [go to I05] 1Unfortunately, the app is ONLY available for Android devices. 2To know your operating system go to Settings on your smartphone and click ‘Info on the device/phone’

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_I03
Unsupported

Missing  Rejected  Unsupported 

How many Mobile phones do you have? N. |__|

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_I04
Unsupported

Missing  Rejected  Unsupported 

I agree to report my name to the person in charge of the research project entitled WeNet - Internet of us (https://www.internetofus.eu/) and to be contacted to receive further explanations for my possible participation. 1. Yes 2. No [go to I05]

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_BFI15_1
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often worry about trifles.

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_BFI15_2
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often feel disturbed.

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_BFI15_3
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I always worry that something bad is going to happen.

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_BFI15_4
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to plan things from the beginning.

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_BFI15_5
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I am diligent in my work or study.

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_BFI15_6
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: One of my characteristics is doing things logically and orderly.

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_BFI15_7
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I think most people are well-intentioned.

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_BFI15_8
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some frauds in the society, I think most people can be trusted.

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_BFI15_9
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some bad things in human society (such as war, evil and fraud), I still believe that human nature is generally good.

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_BFI15_10
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm a person who loves to take risks and break the rules.

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_BFI15_11
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like adventure.

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_BFI15_12
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I have a spirit of adventure that no one else has.

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_BFI15_13
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm bored by parties with lots of people.

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_BFI15_14
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I try to avoid parties with lots of people and noisy environments.

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_BFI15_15
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to go to social and recreational parties.

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_GT_BF15
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_N01
Unsupported

Missing  Rejected  Unsupported 

How did you make a decision to become a student? 1. By myself 2. Followed my parents' advice 3. Followed my brother/sister's advice4. Other, please specify: ____

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_N01_other
Unsupported

Missing  Rejected  Unsupported 

How did you make a decision to become a student? | Answer: Other, please specify: ____

Missing40
Missing (%)100.0%
Memory size457.0 B

w1_N02
Unsupported

Missing  Rejected  Unsupported 

Are you a resident of the city? 1. Born in the city 2. Migrated to the city [go to N03]

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_N03
Unsupported

Missing  Rejected  Unsupported 

From where did you migrate? 1. Arkhangai 2. Bayan-Ulgii 3. Баянхонгор 4. Bayankhongor 5. Govi-Altai 6. Govisumber 7. Darkhan-Uul 8. Dornogovi 9. Dornod 10. Dundgovi 11. Zavkhan 12. Orkhon 13. Uvurkhangai 14. Umnugovi 15. Sukhbaatar 16. Selenge 17. Tuv 18. Uvs 19. Khovd 20. Khuvsgul 21. Khentii

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_N04
Unsupported

Missing  Rejected  Unsupported 

For how long are you living in the current place? 1. Less than 1 year 2. 1-2 years 3. 3-4 years 4. 4-5 years 5. 5 or more years

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_N05_1
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing40
Missing (%)100.0%
Memory size457.0 B

w1_N05_2
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing40
Missing (%)100.0%
Memory size457.0 B

w1_N05_3
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing40
Missing (%)100.0%
Memory size457.0 B

w1_N05_4
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing40
Missing (%)100.0%
Memory size457.0 B

w1_N05_5
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing40
Missing (%)100.0%
Memory size457.0 B

w1_N05_6
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing40
Missing (%)100.0%
Memory size457.0 B

w1_N05_7
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing40
Missing (%)100.0%
Memory size457.0 B

w1_N05_8
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing40
Missing (%)100.0%
Memory size457.0 B

w1_N06
Unsupported

Missing  Rejected  Unsupported 

Please, give the reason to migrate to the city 1. To study 2. Followed my parent's decision 3. Followed my brother/sister's decision 4. To work 5. To change my living place 6. Other, please specify: ____

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_N06_other
Unsupported

Missing  Rejected  Unsupported 

Please, give the reason to migrate to the city. | Answer: Other, please specify: ____

Missing40
Missing (%)100.0%
Memory size457.0 B

w1_interviewtime
Real number (ℝ)

Missing 

time of interview

Distinct38
Distinct (%)100.0%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean2214.168947
Minimum316.96
Maximum14174.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:08.265787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum316.96
5-th percentile766.1825
Q1979.2125
median1479.49
Q32403.6625
95-th percentile5828.6105
Maximum14174.9
Range13857.94
Interquartile range (IQR)1424.45

Descriptive statistics

Standard deviation2442.068558
Coefficient of variation (CV)1.102927832
Kurtosis15.85254778
Mean2214.168947
Median Absolute Deviation (MAD)536.65
Skewness3.640958703
Sum84138.42
Variance5963698.841
MonotonicityNot monotonic
2025-02-26T17:44:08.313496image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
2275.15 1
 
2.5%
1641.97 1
 
2.5%
1070.31 1
 
2.5%
1438.01 1
 
2.5%
3335.61 1
 
2.5%
841.15 1
 
2.5%
1500.76 1
 
2.5%
2529.58 1
 
2.5%
949.05 1
 
2.5%
778.12 1
 
2.5%
Other values (28) 28
70.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
316.96 1
2.5%
719.73 1
2.5%
774.38 1
2.5%
778.12 1
2.5%
811.74 1
2.5%
ValueCountFrequency (%)
14174.9 1
2.5%
7390.97 1
2.5%
5552.9 1
2.5%
4075.72 1
2.5%
3690.17 1
2.5%

w1_GT_A0
Real number (ℝ)

Missing 

Distinct38
Distinct (%)100.0%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean123.5702632
Minimum5.7
Maximum2388.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:08.361818image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.7
5-th percentile6.5305
Q114.29
median19.35
Q325.27
95-th percentile409.679
Maximum2388.84
Range2383.14
Interquartile range (IQR)10.98

Descriptive statistics

Standard deviation429.7953531
Coefficient of variation (CV)3.478145487
Kurtosis22.85306641
Mean123.5702632
Median Absolute Deviation (MAD)5.93
Skewness4.696633857
Sum4695.67
Variance184724.0455
MonotonicityNot monotonic
2025-02-26T17:44:08.411801image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
173.46 1
 
2.5%
19.69 1
 
2.5%
11.03 1
 
2.5%
16.97 1
 
2.5%
22.47 1
 
2.5%
7.9 1
 
2.5%
14.95 1
 
2.5%
29.98 1
 
2.5%
10.93 1
 
2.5%
6.84 1
 
2.5%
Other values (28) 28
70.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
5.7 1
2.5%
6.25 1
2.5%
6.58 1
2.5%
6.84 1
2.5%
7.32 1
2.5%
ValueCountFrequency (%)
2388.84 1
2.5%
1264.32 1
2.5%
258.86 1
2.5%
173.46 1
2.5%
34.32 1
2.5%

w1_GT_A1
Real number (ℝ)

Missing 

Distinct38
Distinct (%)100.0%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean73.14394737
Minimum23.84
Maximum493.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:08.457934image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum23.84
5-th percentile27.498
Q141.275
median55.315
Q380.56
95-th percentile128.367
Maximum493.92
Range470.08
Interquartile range (IQR)39.285

Descriptive statistics

Standard deviation77.39122834
Coefficient of variation (CV)1.058067429
Kurtosis24.77470845
Mean73.14394737
Median Absolute Deviation (MAD)17.26
Skewness4.662733109
Sum2779.47
Variance5989.402225
MonotonicityNot monotonic
2025-02-26T17:44:08.503823image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
77.26 1
 
2.5%
81.66 1
 
2.5%
89.17 1
 
2.5%
52.88 1
 
2.5%
57.64 1
 
2.5%
26.75 1
 
2.5%
115.95 1
 
2.5%
493.92 1
 
2.5%
48.46 1
 
2.5%
27.63 1
 
2.5%
Other values (28) 28
70.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
23.84 1
2.5%
26.75 1
2.5%
27.63 1
2.5%
30.61 1
2.5%
31.92 1
2.5%
ValueCountFrequency (%)
493.92 1
2.5%
198.73 1
2.5%
115.95 1
2.5%
104.21 1
2.5%
99.79 1
2.5%

w1_GT_B
Real number (ℝ)

Missing 

Distinct38
Distinct (%)100.0%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean545.3242105
Minimum61.15
Maximum7231.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:08.548460image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum61.15
5-th percentile122.3595
Q1219.4825
median345.175
Q3446.0275
95-th percentile832.557
Maximum7231.83
Range7170.68
Interquartile range (IQR)226.545

Descriptive statistics

Standard deviation1135.678488
Coefficient of variation (CV)2.082574854
Kurtosis34.95309104
Mean545.3242105
Median Absolute Deviation (MAD)118.5
Skewness5.817909006
Sum20722.32
Variance1289765.629
MonotonicityNot monotonic
2025-02-26T17:44:08.598780image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
447.57 1
 
2.5%
529.1 1
 
2.5%
353.43 1
 
2.5%
286.98 1
 
2.5%
618.78 1
 
2.5%
210.88 1
 
2.5%
270.15 1
 
2.5%
434.96 1
 
2.5%
183.28 1
 
2.5%
176.04 1
 
2.5%
Other values (28) 28
70.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
61.15 1
2.5%
101.22 1
2.5%
126.09 1
2.5%
176.04 1
2.5%
183.28 1
2.5%
ValueCountFrequency (%)
7231.83 1
2.5%
1356.31 1
2.5%
740.13 1
2.5%
618.78 1
2.5%
531.91 1
2.5%

w1_GT_C
Real number (ℝ)

Missing 

Distinct38
Distinct (%)100.0%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean277.8097368
Minimum21.16
Maximum2976.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:08.647884image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum21.16
5-th percentile63.6735
Q181.955
median108.77
Q3194.0625
95-th percentile934.1425
Maximum2976.86
Range2955.7
Interquartile range (IQR)112.1075

Descriptive statistics

Standard deviation533.1748257
Coefficient of variation (CV)1.919208563
Kurtosis18.90397777
Mean277.8097368
Median Absolute Deviation (MAD)30.495
Skewness4.158403336
Sum10556.77
Variance284275.3948
MonotonicityNot monotonic
2025-02-26T17:44:08.696453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
815.8 1
 
2.5%
296.04 1
 
2.5%
93.6 1
 
2.5%
110.23 1
 
2.5%
1604.75 1
 
2.5%
76.58 1
 
2.5%
385.78 1
 
2.5%
762.7 1
 
2.5%
80.39 1
 
2.5%
64.2 1
 
2.5%
Other values (28) 28
70.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
21.16 1
2.5%
60.69 1
2.5%
64.2 1
2.5%
68.17 1
2.5%
70.7 1
2.5%
ValueCountFrequency (%)
2976.86 1
2.5%
1604.75 1
2.5%
815.8 1
2.5%
762.7 1
2.5%
385.78 1
2.5%

w1_GT_D
Real number (ℝ)

Missing 

Distinct38
Distinct (%)100.0%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean141.3960526
Minimum12.72
Maximum3207.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:08.743655image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum12.72
5-th percentile16.604
Q123.13
median36.995
Q351.1675
95-th percentile351.951
Maximum3207.51
Range3194.79
Interquartile range (IQR)28.0375

Descriptive statistics

Standard deviation518.9172225
Coefficient of variation (CV)3.66995551
Kurtosis35.49878568
Mean141.3960526
Median Absolute Deviation (MAD)14.43
Skewness5.888615312
Sum5373.05
Variance269275.0838
MonotonicityNot monotonic
2025-02-26T17:44:08.792206image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
26.49 1
 
2.5%
20.41 1
 
2.5%
19.79 1
 
2.5%
43.23 1
 
2.5%
45.6 1
 
2.5%
37.96 1
 
2.5%
22.08 1
 
2.5%
51.51 1
 
2.5%
15.04 1
 
2.5%
12.72 1
 
2.5%
Other values (28) 28
70.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
12.72 1
2.5%
15.04 1
2.5%
16.88 1
2.5%
19.18 1
2.5%
19.79 1
2.5%
ValueCountFrequency (%)
3207.51 1
2.5%
518.84 1
2.5%
322.5 1
2.5%
87.1 1
2.5%
86.39 1
2.5%

w1_GT_E
Real number (ℝ)

Missing 

Distinct38
Distinct (%)100.0%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean178.3428947
Minimum22.45
Maximum501.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:08.840906image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum22.45
5-th percentile106.8725
Q1127.3125
median163.5
Q3202.7475
95-th percentile290.067
Maximum501.85
Range479.4
Interquartile range (IQR)75.435

Descriptive statistics

Standard deviation84.41628919
Coefficient of variation (CV)0.4733369912
Kurtosis6.406881169
Mean178.3428947
Median Absolute Deviation (MAD)38.75
Skewness2.06916153
Sum6777.03
Variance7126.109881
MonotonicityNot monotonic
2025-02-26T17:44:08.889994image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
159.17 1
 
2.5%
171.48 1
 
2.5%
154.05 1
 
2.5%
180.35 1
 
2.5%
235.3 1
 
2.5%
148.09 1
 
2.5%
159.55 1
 
2.5%
199.14 1
 
2.5%
129.9 1
 
2.5%
108.29 1
 
2.5%
Other values (28) 28
70.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
22.45 1
2.5%
98.84 1
2.5%
108.29 1
2.5%
109.41 1
2.5%
109.92 1
2.5%
ValueCountFrequency (%)
501.85 1
2.5%
422.82 1
2.5%
266.64 1
2.5%
257.24 1
2.5%
242.25 1
2.5%

w1_GT_F
Real number (ℝ)

Missing 

Distinct38
Distinct (%)100.0%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean57.16684211
Minimum7.49
Maximum353.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:08.935454image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum7.49
5-th percentile9.1155
Q111.44
median25.6
Q360.1225
95-th percentile215.759
Maximum353.19
Range345.7
Interquartile range (IQR)48.6825

Descriptive statistics

Standard deviation75.79342192
Coefficient of variation (CV)1.325828385
Kurtosis6.44158248
Mean57.16684211
Median Absolute Deviation (MAD)15.35
Skewness2.452658526
Sum2172.34
Variance5744.642806
MonotonicityNot monotonic
2025-02-26T17:44:08.984627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
16.82 1
 
2.5%
13.44 1
 
2.5%
9.3 1
 
2.5%
260.18 1
 
2.5%
16.64 1
 
2.5%
11.32 1
 
2.5%
15.04 1
 
2.5%
28.74 1
 
2.5%
41.38 1
 
2.5%
7.49 1
 
2.5%
Other values (28) 28
70.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
7.49 1
2.5%
8.41 1
2.5%
9.24 1
2.5%
9.3 1
2.5%
10.1 1
2.5%
ValueCountFrequency (%)
353.19 1
2.5%
260.18 1
2.5%
207.92 1
2.5%
135.82 1
2.5%
125.71 1
2.5%

w1_GT_G1
Real number (ℝ)

Missing 

Distinct37
Distinct (%)97.4%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean111.2881579
Minimum9.47
Maximum318.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:09.032005image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum9.47
5-th percentile50.993
Q173.46
median94.24
Q3131.4825
95-th percentile275.009
Maximum318.11
Range308.64
Interquartile range (IQR)58.0225

Descriptive statistics

Standard deviation64.47632165
Coefficient of variation (CV)0.5793637245
Kurtosis3.352821424
Mean111.2881579
Median Absolute Deviation (MAD)26.205
Skewness1.730991683
Sum4228.95
Variance4157.196053
MonotonicityNot monotonic
2025-02-26T17:44:09.079234image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
85.18 2
 
5.0%
120.08 1
 
2.5%
103.45 1
 
2.5%
144.73 1
 
2.5%
150.59 1
 
2.5%
81.7 1
 
2.5%
101.97 1
 
2.5%
120.81 1
 
2.5%
174.33 1
 
2.5%
103.0 1
 
2.5%
Other values (27) 27
67.5%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
9.47 1
2.5%
43.53 1
2.5%
52.31 1
2.5%
56.17 1
2.5%
56.93 1
2.5%
ValueCountFrequency (%)
318.11 1
2.5%
281.69 1
2.5%
273.83 1
2.5%
174.33 1
2.5%
171.42 1
2.5%

w1_GT_G2
Real number (ℝ)

Missing 

Distinct38
Distinct (%)100.0%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean280.4234211
Minimum7.55
Maximum2878.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:09.125414image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum7.55
5-th percentile55.377
Q194.55
median143.94
Q3174.76
95-th percentile943.236
Maximum2878.82
Range2871.27
Interquartile range (IQR)80.21

Descriptive statistics

Standard deviation538.9179043
Coefficient of variation (CV)1.92180062
Kurtosis17.04240138
Mean280.4234211
Median Absolute Deviation (MAD)46.685
Skewness4.073285288
Sum10656.09
Variance290432.5076
MonotonicityNot monotonic
2025-02-26T17:44:09.172927image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
154.47 1
 
2.5%
172.9 1
 
2.5%
114.08 1
 
2.5%
175.38 1
 
2.5%
359.75 1
 
2.5%
92.15 1
 
2.5%
90.04 1
 
2.5%
153.2 1
 
2.5%
102.6 1
 
2.5%
82.77 1
 
2.5%
Other values (28) 28
70.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
7.55 1
2.5%
49.41 1
2.5%
56.43 1
2.5%
65.63 1
2.5%
71.69 1
2.5%
ValueCountFrequency (%)
2878.82 1
2.5%
1972.62 1
2.5%
761.58 1
2.5%
459.21 1
2.5%
359.75 1
2.5%

w1_GT_G3
Real number (ℝ)

Missing 

Distinct38
Distinct (%)100.0%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean278.6260526
Minimum29.49
Maximum4471.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:09.222072image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum29.49
5-th percentile66.1985
Q194.135
median128.07
Q3189.365
95-th percentile418.6565
Maximum4471.97
Range4442.48
Interquartile range (IQR)95.23

Descriptive statistics

Standard deviation714.4489319
Coefficient of variation (CV)2.564185671
Kurtosis34.49712557
Mean278.6260526
Median Absolute Deviation (MAD)42.29
Skewness5.782795344
Sum10587.79
Variance510437.2762
MonotonicityNot monotonic
2025-02-26T17:44:09.267474image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
113.53 1
 
2.5%
81.44 1
 
2.5%
95.26 1
 
2.5%
146.49 1
 
2.5%
183.59 1
 
2.5%
93.76 1
 
2.5%
192.76 1
 
2.5%
143.91 1
 
2.5%
67.22 1
 
2.5%
132.69 1
 
2.5%
Other values (28) 28
70.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
29.49 1
2.5%
60.41 1
2.5%
67.22 1
2.5%
81.04 1
2.5%
81.44 1
2.5%
ValueCountFrequency (%)
4471.97 1
2.5%
970.74 1
2.5%
321.23 1
2.5%
275.08 1
2.5%
259.92 1
2.5%

w1_GT_H1
Real number (ℝ)

Missing 

Distinct38
Distinct (%)100.0%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean63.70763158
Minimum4.97
Maximum1051.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:09.313877image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.97
5-th percentile11.9395
Q119.5225
median35.785
Q349.66
95-th percentile78.5105
Maximum1051.48
Range1046.51
Interquartile range (IQR)30.1375

Descriptive statistics

Standard deviation165.8749358
Coefficient of variation (CV)2.603690197
Kurtosis36.71820017
Mean63.70763158
Median Absolute Deviation (MAD)15.495
Skewness6.014073269
Sum2420.89
Variance27514.49433
MonotonicityNot monotonic
2025-02-26T17:44:09.434455image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
31.03 1
 
2.5%
50.52 1
 
2.5%
11.98 1
 
2.5%
32.12 1
 
2.5%
17.47 1
 
2.5%
11.71 1
 
2.5%
19.2 1
 
2.5%
33.62 1
 
2.5%
20.04 1
 
2.5%
29.01 1
 
2.5%
Other values (28) 28
70.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
4.97 1
2.5%
11.71 1
2.5%
11.98 1
2.5%
12.56 1
2.5%
13.38 1
2.5%
ValueCountFrequency (%)
1051.48 1
2.5%
107.98 1
2.5%
73.31 1
2.5%
66.43 1
2.5%
64.11 1
2.5%

w1_GT_H2
Real number (ℝ)

Missing 

Distinct38
Distinct (%)100.0%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean83.36921053
Minimum14.34
Maximum324.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2025-02-26T17:44:09.480913image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum14.34
5-th percentile31.8785
Q152.9475
median70.74
Q397.8925
95-th percentile153.5745
Maximum324.8
Range310.46
Interquartile range (IQR)44.945

Descriptive statistics

Standard deviation53.43513488
Coefficient of variation (CV)0.6409456746
Kurtosis10.54198309
Mean83.36921053
Median Absolute Deviation (MAD)21.22
Skewness2.656649682
Sum3168.03
Variance2855.31364
MonotonicityNot monotonic
2025-02-26T17:44:09.528850image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
139.47 1
 
2.5%
60.56 1
 
2.5%
33.44 1
 
2.5%
48.02 1
 
2.5%
23.03 1
 
2.5%
42.35 1
 
2.5%
113.29 1
 
2.5%
77.09 1
 
2.5%
75.48 1
 
2.5%
74.27 1
 
2.5%
Other values (28) 28
70.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
14.34 1
2.5%
23.03 1
2.5%
33.44 1
2.5%
38.26 1
2.5%
42.35 1
2.5%
ValueCountFrequency (%)
324.8 1
2.5%
160.4 1
2.5%
152.37 1
2.5%
140.15 1
2.5%
139.47 1
2.5%

w1_GT_I1
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_GT_I2
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B

w1_GT_N
Unsupported

Missing  Rejected  Unsupported 

Missing40
Missing (%)100.0%
Memory size492.0 B